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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance. What You’ll Bring: Currently pursuing a Bachelor’s orMaster’s degree in Computer Science, Engineering, Data Science Python programming proficiency Familiarity with data structure and algorithms Strong understanding of software development principles and methodologies Excellent communication and interpersonal skills Interest in finance, quantitative tradingor financial data a plus What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: As a LLM Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies. This is a hands-on, engineering role where you’ll design, build, and scale the data pipelines that underpin our data research. This role is ideal for someone who loves building production systems, enjoys working deeply with text and large language models, and wants their engineering work to empower quantitative research at the firm. You’ll join a highly technical, collaborative environment where you work closely with Research and where your ideas can quickly translate into impact at scale. What You’ll Bring: Degree in a quantitative or technical discipline (computer science, engineering, etc.) Basic knowledge of probability and statistical theory At least 2 years’ experience in developing and managing scalable and robust data pipelines Have a deep understanding of machine learning, and experience in training, inference, and evaluation. Experience with LLM technologies and agentic systems Excellent Python coding skills; familiarity with pandas / polars / duckdb is required Strong analytical skills and attention to detail Excellent communication skills in both verbal and written form Ability to operate in a collaborative, team-oriented culture Proactive and mature approach to problem-solving and project management Experience with Kubernetes (k8s) for deployment is preferred Experience with monitoring and alerting tools is preferred Familiarity with infrastructure management and deployment and ML Ops is preferred What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-VP1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies. This is a hands-on, engineering role where you’ll design, build, and scale the data pipelines that underpin our data research. This role is ideal for someone who loves building production systems, enjoys working deeply with text and large language models, and wants their engineering work to empower quantitative research at the firm. You’ll join a highly technical, collaborative environment where you work closely with Research and where your ideas can quickly translate into impact at scale. What You’ll Bring: BSc/M.Sc. from a leading university in Computer Science, Engineering, or related discipline 5 years of demonstrated experience programming scalable and robust software in Python Demonstrated experience building or maintaining data pipelines Basic knowledge of probability and statistical theory Experience working in Linux environments Experience with building and operating ML inference pipelines. Experience with using LLM for structured data extraction. Strong communication skills; ability to express complex concepts in simple terms Experience in the financial services industry is a big plus Knowledge of workflow scheduling techniques (e.g. Airflow) is a plus Prior experience working with text data in a data science/quantitative project environment What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.The Role: We are seeking an exceptionally talented engineer to join our team. This engineer can expect to perform the following duties: Maintain/enhance our legacy C++-based tick data processing platform as needed, demonstrating product ownership, and helping migrate datasets to our new tick data processing platform. Contribute to our new, modern C++-based tick data processing platform – enhancing the platform to support additional tick data feeds across asset classes, developing/reviewing the implementation of tick data-based interval features/statistics, and adding new functionality to the platform all while maintaining high software standards and best practices. Collaborate with the Research and Portfolio Management organizations to facilitate the transition from our legacy platform to our new platform, supporting their price volume data needs for signal generation. What You Will Bring: High competency in C++ programming across language versions (11, 14, 17, 20, 23) Familiarity with build tools such as CMake Experience with scripting languages such as Perl and Python Knowledge of tick data and processing order book data Expertise on the SDLC, CI/CD pipelines, Git, JIRA, etc. Attention to detail, patience, and an agreeable disposition English proficiency and willingness to participate in meetings across time zones #LI-VP1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking an experienced backend engineer with full-stack capabilities to join our development team. This role primarily focuses on backend systems while requiring a comprehensive understanding of web architecture and application design principles. Design, develop, and optimize backend systems and services Architect and maintain database solutions that meet performance and reliability requirements Implement efficient network communications and API endpoints Collaborate with frontend developers, ensuring seamless integration between systems Apply CS fundamentals to solve complex technical challenges Contribute to technical decision-making and architectural discussions Mentor junior engineers and promote engineering best practices What You’ll Bring: 5+ years professional software development experience with a strong focus on backend systems Computer Science Fundamentals:Strong knowledge of data structures, algorithms, system design, and software architecture principles Database Proficiency:Deep understanding of database systems, query optimization, schema design, and data modeling Network Knowledge:Solid grasp of network protocols, API design, and secure communication implementations Full-Stack Understanding:Familiarity with modern web architecture, frontend technologies, and how components interact across the stack Proven ability to design and build scalable, maintainable systems Strong analytical and problem-solving skills Experience developing and maintaining production Python applications Experience with distributed systems design Familiarity with containerization and orchestration tools Background in performance optimization and systems scalability History of contributions to significant technical projects What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office!#LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking an experienced full-stack engineer to join our development team. In this role, you'll design, develop, and maintain web applications across the entire technology stack, from frontend interfaces to backend systems, databases, and API integrations. Develop and maintain full-stack web applications from concept to deployment Design and implement backend services, APIs, and database solutions Ensure application performance, security, and scalability across the stack Build responsive, interactive user interfaces using modern frontend technologies Participate in code reviews and provide constructive feedback to team members Stay current with emerging technologies and industry trends Troubleshoot and debug issues across the entire stack What You’ll Bring: 5+ years professional software development experience across full stack systems Backend Capabilities:Experience building and maintaining server-side applications and services API Development:Experience designing, building, and consuming RESTful APIs Database Knowledge:Understanding of database design, query optimization, and data modeling Frontend Expertise:Strong knowledge of HTML, CSS, JavaScript, and modern frontend frameworks/libraries Web Architecture:Solid understanding of web application architecture, including client-server communication Cross-Browser Development:Ability to build applications that work consistently across browsers and devices Responsive Design:Knowledge of responsive design principles and implementation techniques Preferred Qualifications: Experience developing backend systems with Python Experience with modern JavaScript frameworks (React, Angular, Vue, etc.) Familiarity with state management solutions Experience with various API technologies and patterns Experience with containerization and deployment automation Understanding of CI/CD principles and tools Background in performance optimization for web applications Knowledge of accessibility standards and implementation What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office!#LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: The Backend Engineer is a developer whose primary role will be to build and develop components for the Alpha testing and production framework. This role is expected to be familiar with modern design patterns and can apply suitable programming paradigms to create and maintain a robust and flexible system. In addition, this role will work closely with the operations team, adopting continuous integration and deployment techniques to ensure that the software products are being delivered in a timely yet reliable manner. This role is also expected to be able to learn and integrate new technology to complement and enhance existing systems. What You'll Do: Develop robust backend application services and APIs. Propose system design and develop new systems as well as enhance existing systems Be an active member of an agile engineering team who is continuously looking to improve team performance. Automate CI/CD processes. Monitor and analyze platform reliability and performance and develop improvements. Work with leading open-source technologies (such as MySQL, PostgreSQL, ELK stack, Sentry, Redis, Git, etc.). What You’ll Bring: 5+ years of experience in software development and interest in running real-world applications at scale. Excellent problem-solving abilities and judgment with strong attention to detail Demonstrated experience developing scalable and robust software. Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas… Working knowledge in various database and messaging technologies such as SQL, Redis, Kafka etc Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture Experience with Linux environment and shell scripting. Bachelor’s degree in Computer Science or related discipline or equivalent job experience. Candidates need not have prior experience in financial services. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office!#LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration. What You'll Do: Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale Architect data storage and processing solutions, including schema design, query optimization, and data modeling Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries Take ambiguous requirements and break them down into deliverable, well-engineered solutions Diagnose and resolve complex production issues - applying strong analytical and systems thinking Improve engineering practices: testing, CI/CD, observability, and documentation What You'll Bring: 8+ years of professional software development experience Strong programming proficiency: Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code System design: Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies Data engineering: Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing Database proficiency: Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization Software engineering depth: Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory API design: Experience designing clean, well-documented REST/gRPC APIs Incident response mindset: Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using AI as a force multiplier for code generation, review, debugging, and documentation Nice to Have: Python mastery: Advanced knowledge of Python internals, concurrency (asyncio, threading, multiprocessing), performance profiling, packaging, and strong experience with frameworks such as FastAPI/Flask, SQLAlchemy, pytest, and mypy/type annotations Observability and distributed tracing: Experience with monitoring and observability stacks - metrics, structured logging, distributed tracing (OpenTelemetry, Grafana, ELK) - for diagnosing system behavior and bottlenecks in production DevOps practices: Familiarity with containerization (Docker), CI/CD pipelines (GitLab CI, Jenkins), and infrastructure-as-code (Ansible, Terraform) Programming language versatility: Proficiency in additional languages that complement data platform work - C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering Team leadership and management: Experience leading a development team, running sprints, conducting code reviews, mentoring engineers, and managing stakeholders' expectations Message queues and streaming: Experience with Kafka, Redis, or similar event-driven architectures Data orchestration: Exposure to Airflow or similar workflow orchestration frameworks Frontend / full-stack awareness: Familiarity with modern web technologies (React, TypeScript) for building internal UIs and dashboards Financial services or quantitative finance background Open-source contributions or a public portfolio of technical work What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking a Senior Site Reliability Engineer to join the team. You will build and operate the infrastructure and tooling behind WorldQuant's data ingestion pipelines — systems that onboard, validate, and deliver large-scale datasets to the firm's research platform.This is a 70% build / 30% operate role. You'll spend most of your time engineering automation, observability, and developer tooling, while also participating in on-call rotations and incident response for production data pipelines. You'll partner with engineering, analyst, and research teams to ensure reliability at scale — this requires excellent analytical skills, clear communication, and the ability to collaborate across teams. What You'll Do: Build (70%): Design and develop automation, monitoring, CI/CD, and reliability features for the data onboarding pipeline Develop and maintain internal infrastructure and services that reduce toil and improve pipeline reliability Build observability solutions — dashboards, alerting, log aggregation — using Grafana, the ELK stack, and Vector Design and implement CI/CD pipelines, test automation, and release management workflowsWrite infrastructure-as-code for provisioning, scaling, and managing platform components: Kubernetes, bare metal hosts Integrate and extend tools such as Redis, Celery, MySQL Operate (30%): Keep production data pipelines healthy and respond to incidents Participate in on-call rotation, respond to production incidents, and drive post-mortems Define and track SLOs/SLIs for pipeline reliability, latency, and data freshness Diagnose platform performance and reliability issues, driving them to root cause Create and maintain runbooks for common operational scenarios Plan capacity and optimize resource utilization What You'll Bring 8+ years of experience in SRE, DevOps, or platform engineering roles Linux expertise: Power user proficiency in Linux with ability to manage infrastructure, deploy services, and troubleshoot production systems Python proficiency: Strong scripting and automation skills; experience building CLI tools, API clients, monitoring integrations, and operational tooling in Python Kubernetes containers: Deep hands-on experience with Kubernetes — deploying, scaling, debugging, and managing production workloads. Familiarity with Helm, resource management. Solid experience with Docker Observability: Hands-on experience with monitoring stacks — Grafana, Prometheus, ELK (Elasticsearch, Logstash, Kibana), or similar. Experience designing dashboards, alerts, and SLO-based reliability tracking CI/CD infrastructure-as-code: Experience designing and maintaining CI/CD pipelines (GitLab CI, or similar), including test automation and release management. Familiarity with Ansible or similar IaC tools Databases: Working knowledge of relational databases (MySQL/PostgreSQL), query tuning, and operational database management Message queues streaming: Experience with Kafka, Redis pub/sub, or Celery for event-driven architectures Networking APIs: Understanding of network fundamentals, DNS, load balancing, and REST/gRPC APIs Incident management: Experience with on-call rotations, incident response, post-mortems, and runbook-driven operations Leadership management: Proven track record of leading a team — mentoring engineers, driving technical roadmaps, coordinating cross-team initiatives, and managing priorities. Comfortable owning team delivery and representing the team to stakeholders AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development and operations workflow — treating AI as a force multiplier for automation, incident analysis, and toil reduction Nice to Have: Cloud platforms: Exposure to GCP or AWS for compute, storage, and managed services Data tools: Familiarity with Apache Arrow, gRPC, or columnar data formats Big data platforms: Familiarity with Hadoop or Apache Spark for large-scale data processing Programming languages: C/C++, Golang, Scala, JavaScript Financial services or data-intensive industry background SRE culture: Familiarity with Google's SRE book principles — error budgets, toil tracking, blameless post-mortems What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

MÔ TẢ CÔNG VIỆC Chúng tôi đang tìm kiếm một ứng viên nhiệt huyết và kiên trì để gia nhập đội ngũ Data Collector - Nhân Viên Thu Thập Dữ Liệu. Nhiệm vụ chính của bạn là thu thập, phân loại và trích xuất dữ liệu về học bổng, nghiên cứu sinh, vị trí nghiên cứu và các chương trình khoa học từ các trang web của nhà tài trợ tại Hoa Kỳ, Canada, Anh, Úc, New Zealand và Singapore. Công việc cụ thể: 1. Thu thập dữ liệu - Tìm Dữ Liệu: Tìm kiếm thông tin trên trang web về các cơ hội học tập và nghiên cứu. - Nhập Dữ Liệu: Nhập thông tin đã thu thập vào cơ sở dữ liệu của công ty. - Cập Nhật Định Kỳ: Thường xuyên cập nhật cơ sở dữ liệu, đảm bảo các thông tin cung cấp cho khách hàng luôn đúng và mới nhất. Yêu cầu định dạng cho việc thu thập dữ liệu Grant (nội dung bằng tiếng anh) 1 ví dụ dữ liệu Grant cần thu thập 2. Kiểm tra chất lượng dữ liệu - Kiểm tra tính chính xác và đảm bảo chất lượng của dữ liệu theo tiêu chuẩn. 3. Quản lý danh sách dữ liệu - Quản lý và theo dõi danh sách các cơ hội học tập và nghiên cứu của từng nhà tài trợ. THỜI GIAN LÀM VIỆC - Từ 8:00 - 12:00 và 13:00 - 17:00 từ thứ 2 đến thứ 6. CHÍNH SÁCH ĐÃI NGỘ - Thu nhập theo năng lực, dao động từ 7 triệu đến 12 triệu. - Bảo hiểm sức khỏe cá nhân. - Phụ cấp cho đào tạo và hoạt động thể thao. - Thưởng cuối năm. - Tăng lương hàng năm. - Chế độ du lịch hàng năm. Ngoài ra: - Môi trường làm việc trẻ trung và thân thiện. - Tổ chức Team building hàng năm. - Tổ chức tiệc sinh nhật hàng tháng. - Đồ ăn vặt hàng ngày. Chúng tôi cam kết đảm bảo đầy đủ các quyền lợi về bảo hiểm y tế, bảo hiểm xã hội và thời gian nghỉ phép theo quy định cho toàn bộ nhân viên.