Quantitative Trader Developer Jobs

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime. Zoox is seeking a highly motivated System Test Engineer to be a technical contributor supporting the System Integration and Validation team. You will be leading the integration and validation of cloud and operational elements to ensure the product meets safety, customer needs, and milestone readiness. You will be responsible for designing and developing test efforts at the highest level of integration, including feature validation, functional, and regression testing, toward the successful execution and reporting of these efforts. In this role, you will: Develop test plans and test cases that are abstracted to the highest level of integration Focus on automating testing utilizing internal Hardware in the Loop (HIL) and Software in the Loop (SIL) assets Review data, collect metrics, and provide quantitative evidence to report on milestone readiness Analyze vehicle logs and test data using in-house tools to trace failures for root cause analysis, documentation, and communication Support the defect management process from recognition to resolution Qualifications: Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Electrical Engineering, or STEM-related field 3+ years of industry experience in testing complex systems (integration of cloud tools, cloud and cloud networking, mobile applications, application UI, and operational workflows) Experience with designing, developing, and executing test methodologies that scale across multiple teams Strong software development experience with high-level language (e.g. Python, Pytest, REST API), along with version control systems (e.g Git) Integrated systems troubleshooting experience Bonus Qualifications: Expe

About Cubist Cubist Systematic Strategies, an affiliate of Point72, is one of the world’s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Job Description The Central Research Technology team, which builds strategic solutions for research and live trading of quantitative strategies across multiple frequencies and products, is seeking a highly talented intern to work with the team in January. This is a unique opportunity to help design and build the next generation of research and quant trading systems for Cubist. Desirable Candidates Undergraduate or graduate candidates in computer science or engineering Significant experience in Python and/or C++ Interest in open source research tools for data science and machine learning Basic knowledge of linux, git, conda, and CI processes Knowledge of cloud, databases and distributed or streaming compute is a plus Reasonable quantitative and statistical skills Experience with Finance preferred Clear, concise, and proactive communicator Detail oriented and quick learner in a fast-paced environment Team player with strong pride of ownership Commitment to the highest ethical standards

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. Strategic leadership & scientific roadmap: Identify fundamental gaps and op

ABOUT CANVAS On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts—our team produces impactful research that will change the way you look at the world. ROLE SUMMARY When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same—from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals. Other Market Intelligence divisions perform quantitative research to explain what is going on in an industry. As a fundamental researcher, your qualitative research will explain why. In this role you will: Become a subject matter expert on an assigned industry Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts, changes in supply/demand dynamics, and emerging competitors, markets, and technologies) and, importantly, why it is happening Synthesize your findings in comprehensive reports that present a view of the industry Gain unparalleled exposure to, and learn from, Compliance approved private company executives across industries, and your colleagues Interact directly with our investment professionals and learn the discretionary investment process WHAT EXCITES YOU Staying current on t

As an IT Compliance Manager , you will conduct in-depth evaluations of our technological infrastructure to ensure compliance with financial market regulations and data protection standards. This role entails a strong understanding of regulatory environments, meticulous attention to detail, and the capability to sustain high-performance levels in a quantitative trading context. We're looking for a dedicated professional who demonstrates high autonomy and accountability, someone who reliably completes tasks, proactively identifies and addresses compliance issues, and swiftly integrates into the dynamic rhythm of our organization. WHAT YOU'LL BE DOING: Project Leadership and Delivery Lead major compliance projects such as: ICT implementation reviews and compliance sign-offs Implementation of new regulatory requirements across specific markets or asset classes Compliance integration for new market access or trading venues Manage project timelines, resources, and stakeholder expectations Define project scope, deliverables, and success metrics Coordinate cross-functional teams to ensure successful project implementation ICT Implementation and Technology Compliance Lead compliance oversight of ICT implementations and technology projects Review and approve technology changes from a compliance perspective Monitor compliance with regulatory technical standards (e.g., MiFID II RTS 6 algorithmic trading requirements) Collaborate with technology teams to embed compliance controls in system architecture Oversee compliance aspects of system development lifecycle (SDLC) Ensure proper documentation and audit trails for all technology implementations Regulatory Expertise and Incident Management Stay updated on global regulatory standards and adapt strategies as necessary for each jurisdiction Act as a compliance liaison for technology and trading teams Participate in and respond to regulatory examinations and inquiries Present compliance metrics and project updates to stakehold

About the Team The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven. About the Role OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: Develop and publish research on techniques for understanding representations of deep networks. Engineer infrastructure for studying model internals at scale. Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: Are excited about OpenAI’s mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter . Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI. Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines. Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. Possess 2+ years of research engineering experience and proficiency in Python or similar languages. Are deeply curious. About OpenA

We are seeking a Software Developer , preferably with successful competitive programming experience, to join our dynamic team. You will join a team of intelligent, calm, and thoughtful teammates with a strong focus on detail and a passion for streamlining business procedures. The solutions developed by the team have a profound impact on the entire business, so we expect you to have good soft skills and be responsible. The position is characterized by fast feedback loops and very tangible results of work. WHAT YOU’LL BE DOING: Implementation of efficient trading algorithms, finding a balance between performance of the solution and ease of maintenance Close communication with the Quantitative Research team regarding technical tasks Write a lot of asynchronous, template, network and thread-safe code WHAT WE LOOK FOR IN YOU: Strong knowledge of data structures, algorithms, and a competitive programmIng background Experience with C or C++ Understanding of Linux system internals and networking Decent level of written and spoken English to work in an international environment NICE-TO-HAVE: In-depth knowledge and expertise with low latency/real-time development with sub-microsecond latency LockFree containers and thinking pattern Knowledge of CUDA WHY SHOULD YOU JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Role: The Quant Researcher will report to a Stamford based Portfolio Manager and will focus on: Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs Driving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios Communicating the model’s results and limitations to the wider investment team Responsibilities: Formulate and build a power dispatch model using Python and a commercial solver Collaborate with the PM to optimize model inputs and architecture Ensure the model replicates grid operations from historical conditions Suggest model improvements to decrease forecast error and improve scenario handling Regularly run the model and maintain up-to-date outputs in an internal database Communicate results and limitations to the wider investment team, including publishing results to team dashboards Requirements: Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.) Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets Experience using SQL and timeseries databases Proficiency in Python and Git; additional experience with an OOP language a strong plus Domain knowledge in ERCOT, PJM, or CAISO preferred About Point72: Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led cultu

Role We are looking for an experienced Macro Quant Researcher to join our team in Taipei. Responsibilities Develop macro-focused systematic trading strategies in liquid secondary markets. Conduct research to identify data-driven signals and market inefficiencies. Collaborate with team members on research and development initiatives. Requirements B.S., M.S., or Ph.D. degree in economics, finance, computer science, physics, or other quantitative discipline. 2+ years of experience in quantitative research or systematic trading at a bank, hedge fund, or asset manager. Experience with systematic trading strategies for any secondary market product (e.g., Taiwan index futures, BTC, etc.) using tools beyond Excel or MultiCharts. Proficiency in Python or C++ and familiarity with database query languages (SQL or NoSQL). Demonstrable ability to conduct independent research utilizing large datasets. Detail-oriented, willingness to take ownership of his/her work, and ability to work both independently and within a small team. Commitment to the highest ethical standards.

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Power BI, Gsheets for operational and management reporting Data extraction as per business request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Desired Skills and Experience: 3 - 5 years working with large data sets and conducting quantitative analysis Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute ...........................

About the Team The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash. Please apply here for all non-managerial levels within the following analytics teams: Consumer & Growth Business Operations Dasher & Logistics Customer Experience & Integrity Merchant, Ads & Sales New Verticals International Data Science About the Role As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools Work with and mentor junior analysts on how to use more advanced methods and solve challenges Produce recommendations and use statistical techniques and hypothesis testing to validate your findings Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Report aga

ABOUT CANVAS On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research. Canvas is the supply chain research group within Market Intelligence. Canvas conducts compliant supply chain research by developing deep industry expertise, talking with private company executives, and synthesizing information for portfolio managers and analysts – our team produces impactful research that will change the way you look at the world. ROLE SUMMARY When you join the Canvas team, you’re signing up for the learning experience of your life. You will never look at anything the same – from grocery stores to tires to semiconductors. Every day you will speak with some of the most successful private company executives and learn about the businesses they’ve spent their lives building. You will synthesize your findings in comprehensive reports that are consumed by our investment professionals. Other Market Intelligence divisions do quantitative research to explain what is going on in an industry. As a Fundamental Researcher, your qualitative research will explain the why. In this role you will: Become a subject matter expert on an assigned industry Learn from small, medium, and large private company executives about their businesses and the industries in which they operate, including gathering qualitative data on what is happening (e.g., structural shifts; real-time changes in supply/demand dynamics; and emerging competitors, markets, and technologies) and, importantly, why it is happening Synthesize your findings in comprehensive reports that present a view of the industry Gain unparalleled exposure to, and learn from, business leaders across industries, including private company executives and your colleagues Interact directly with our investment professionals and learn the discretionary

About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Research Lead, Policy Communications, you will build and lead a rigorous research program that helps OpenAI understand how people engage with complex AI policy issues. You will design qualitative and quantitative studies, develop durable research practices, and translate findings into clear recommendations for Policy, Communications, Product, and other partners. Your work will help teams communicate complex topics accurately, responsibly, and in ways that are useful to a broad range of audiences. This role can be based in San Francisco or Remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You’ll be responsible for: Build and manage a mixed-methods research program from initial questions through study design, fieldwork, analysis, reporting, and documentation. Establish high standards for quality, consistency, and responsible research practice. Design rigorous quantitative research, including surveys and longitudinal studies. Oversee questionnaire design, sampling, weighting, vendor quality, analysis, and clear communication of uncertainty and limitations. Lead qualitative research, including interviews and focus groups, to understand how people interpret complex policy topics. Use these insights to improve the clarity, accuracy, and usefulness of policy communications. Turn findings into executive-ready reports with practical recommendations for Policy, Communications, Product, Marketing, Data Science, Legal, Privacy, and other partners. Build reusable research tools, benchmarks, and knowledge that strengthen decision-making over time. We’re looking for someone with: We’re looking f

Job Details: Job Description: The Role and Impact As a Sales Operations Global Process Owner, you will play a pivotal role in driving the success of Intel's projects and programs by providing analytical expertise and process management support. Your day-to-day responsibilities will include conducting quantitative and qualitative analysis, tracking progress, monitoring objectives, and developing project management infrastructure to ensure seamless execution. By leveraging advanced data visualization techniques, you will transform insights into actionable strategies that help teams meet their goals efficiently and effectively. Business group This role is part of Intel's broader business operations and program management domain, which focuses on enabling cross-functional teams to execute projects that advance strategic objectives and deliver measurable impact. The team works collaboratively across business units, leveraging innovative methodologies to enhance decision-making and optimize program performance, contributing to Intel's leadership in the industry. Key Responsibilities Conduct quantitative and qualitative analyses to support the execution of project/program objectives. Assess resource utilization, track project progress, and monitor objectives and key results (OKRs) to ensure alignment with strategic goals. Identify performance gaps, manage risks, and ensure compliance with organizational processes and guidelines. Develop and maintain project/program management infrastructure, including issue tracking, reporting, dashboard monitoring, and project plan builds. Create advanced visualizations and reports to communicate data-driven insights to stakeholders for optimal decision-making. Collaborate with project/pro

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer focused on quantitative investment and trading firms, you will partner directly with researchers, engineers and technical leaders to apply OpenAI’s models and Codex to their research and development workflows. You will combine an understanding of how quants work with hands-on technical skills, helping customers identify valuable opportunities, evaluate approaches and take successful experiments into production. You will work with both practitioners and senior leaders, connecting advances in AI to the problems that matter most to their firms. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Work directly with quantitative in