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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.We are seeking a Portfolio Manager to manage risk and generate returns while utilizing cutting-edge agentic AI solutions within our Quantitative Trading divisions. This role sits at the intersection of Portfolio Management and Artificial Intelligence, requiring active engagement with autonomous cognitive systems for strategy development. As a Portfolio Manager focused on Agentic Systems, you will manage a live trading book while working with cognitive reasoning architectures that enable autonomous systems to solve complex financial problems and reason through multi-step solutions. You will utilize and interact with agentic systems including planning algorithms, memory architectures, reflection mechanisms, and collaborative reasoning patterns that support autonomous decision-making in quantitative trading environments. You will adjust hyperparameters of reinforcement learning training processes to optimize system performance and contribute to deep learning model development for the PM model layer and custom agentic workflows. Portfolio Management: Take risk, manage PL, and make trading decisions within defined risk parameters while developing expertise in quantitative portfolio management principles Agentic Systems Utilization: Deploy and work with cognitive reasoning systems for quantitative modeling problems, leveraging planning, tool use, memory, reflection, and collaboration capabilities Reinforcement Learning Tuning: Adjust hyperparameters of reinforcement learning training processes to improve autonomous system performance and decision-making quality Model Development: Contribute to deep learning model building for PM model layer applications specific to portfolio management objectives Custom Agentic Development: Build and customize agentic workflows and tools tailored to portfolio management needs and specific trading strategies Human-in-the-Loop Oversight: Execute human-in-the-loop decisions and checks ensuring that traded strategies meet quant trading acceptance criteria This position combines portfolio management with cutting-edge agentic AI technology. Your work will directly impact: Research-to-production cycles for quantitative strategies Complex, multi-step financial workflows through autonomous systems Enhanced decision-making through human-AI collaboration This role offers the unique opportunity to develop as a portfolio manager while shaping the future of quantitative finance through the strategic utilization of agentic AI systems that solve complex financial problems and drive measurable business value. What You’ll Bring: Advanced degree in a quantitative field (Computer Science, Mathematics, Physics, Statistics, Engineering, or related discipline) Minimum of 10 years of experience, PM experience is not required but preferred Familiarity with financial markets Experience with python-based deep learning model development Willingness to learn portfolio management discipline, including PL responsibility and risk management Hands-on experience with agentic AI frameworks Deep knowledge of the core capabilities of agentic systems: planning, tool use, memory, reflection, and collaboration Experience applying reinforcement learning methodologies to develop autonomous systems that learn and improve through policy optimization, reward modeling, and outcome-based feedback loops Ability to adjust hyperparameters and tune training processes for reinforcement learning systems Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is 150,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly. #LI-JB1By 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.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.Please note: To ensure fairness across applicants, candidates who graduated more than one year ago will not be considered for this internship.Location: Remote from the UK, Ireland, Switzerland, or Poland, with the option to work from a Logitech office in these locations if preferred.The Team and Role:Logitech’s CAD Team is at the center of innovation and new product development work, maintaining close collaboration with ME (mechanical engineering), ID (industrial design), CMF (colour, material finish) and UX (user experience). We have a passion for cutting-edge CAD tools and workflows, a great understanding of manufacturing and a keen eye for details. Challenging problems excite us and our work helps put fantastic products in the hands of millions globally.As a Computational Design Intern, you will be building Grasshopper scripts to generate interesting patterns that beautifully balance function and aesthetics. You will be leading a project where you will be exploring new ways to get these scripts in the hands of a wide range of stakeholders across the organisation. This job is perfect for a student with strong Grasshopper experience and great communication skills.The expected start date for this role is June 2026 - 6 months duration.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors you’ll need for success at Logitech. In this role you will:Use Grasshopper to make complex and intricate geometry a realityMeet with stakeholders to understand their viewpoints (ID, ME, CMF, UX, etc.)Explore new tools to lower the barrier of entry to computational designBuild Grasshopper scripts that are robust, flexible and quickKey Qualifications:Currently pursuing or recently graduated (within the past 12 months) from a degree in engineering, architecture, design, or equivalentGreat problem-solving skills with a hunger for learningExperience with 3D CAD tools (bonus if you have advanced skills in Rhino)Experience with Grasshopper is a must (please submit portfolio)Programming experience is a bonus, but not requiredAbility to break down and organize complex problems into logical piecesGreat presentation skills (verbal, written and visual)Experience with Adobe Illustrator and other Adobe CC tools is a bonusStrong English communication and interpersonal skillsAbility to work independently and as part of a teamExcellent attention to detail and organizational skillsCurrently pursuing or recently graduated from a degree in engineering, architecture, design, or equivalent#LI-RD1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

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 and portfolio managers. 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 building a new software engineering team with strong applied AI orientation to amplify WorldQuant's success. The team is focusing on creating company-wide applications to address our colleagues’ every day problems. You will have a chance to work with a broad range of teams at WorldQuant, helping them to be more productive with custom solutions. Collaborate with cross-functional distributed teams. Gather, analyze and spec out requirements, and manage product deliverables. Design and build scalable AI-driven products addressing real-world problems. Stay current with the latest technical advancements, particularly in the field of AI and LLMs. What You’ll Bring: Strong programming skills, preferably in Python. Exceptional analytical skills and a passion for solving complex problems. Thorough understanding of how AI works and familiarity with language models. Understanding of vector databases and other relevant data structures. Working knowledge in various databases and messaging technologies is a strong plus. (SQL, Redis, Kafka etc.) Excellent communication skills in English. Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture. A strong delivery mind-set, drive to get things done. Experience in finance is not required. #LI-MH1 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 projects while working collaboratively with researchers and portfolio managers. 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:WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and PMs, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into playWhat You’ll Bring: 5+ years of experience in a high‑impact, production environment as a software engineer Strong computer science fundamentals - data structures, algorithms, OOP, threading, multiprocessing, etc. Clean and Concise coding style Solid experience with Python Experience working in Linux environment Experience building distributed or data intensive systems is a big plus Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts Interest and experience in LLM, agentic systems is a plus, but not essential #LI-DN1By 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.