Quantitative Research Intern Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team as a Lead validator for Finance and Analytics models. MRM serves as Affirm's second line of defense, establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company. What You'll Do: Perform independent challenges of financial and analytics quantitative models — including ALM, allowance/loss forecasting, loan transition models (LTM), corporate financial planning models, take-up and engagement models, and related decision-support analytics — through rigorous validation and ongoing monitoring Lead end-to-end validation engagements on high-complexity, high-criticality models Identify model weaknesses, limitations, and opportunities for improvement; articulate findings clearly to technical and non-technical stakeholders Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance Partner cross-functionally to implement and maintain the company's MRM framework Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and exami

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

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: Contribute to real engineering problems that push the boundaries of AI-powered software creation Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field At least one semester of schooling remaining after the internship Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework Genuine curiosity about AI, agent systems, company building, or developer tooling Extremely bullish on Replit and the future of AI-native software creation

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, 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. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.

Integra’s mission is to restore integrity to the financial system. Integra is looking for a research analyst to partner with quantitative analysts to develop and enhance existing methods for investigating fraud. This person will conduct research on a variety of topics related to fraud. Responsibilities would include the following: Reviewing academic research and news articles related to financial, securities, cryptocurrency or health care fraud Identifying emerging areas of fraud based on review of news, social media and other sources Reviewing specific cases of fraud, including analysis of specific organizations, entities or institutions Gathering of publicly available data and information Compiling and summarizing research Other tasks to support Integra’s business Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Integra’s mission is to restore integrity to the financial system. Integra is looking for a research analyst to partner with quantitative analysts to develop and enhance existing methods for investigating fraud. This person will conduct research on a variety of topics related to fraud. Responsibilities would include the following: Reviewing academic research and news articles related to financial, securities, cryptocurrency or health care fraud Identifying emerging areas of fraud based on review of news, social media and other sources Reviewing specific cases of fraud, including analysis of specific organizations, entities or institutions Gathering of publicly available data and information Compiling and summarizing research Other tasks to support Integra’s business Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Must graduate before December 2027. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. Previous research or internship

Who we are Lab37 Robotics, is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you’ll do You’ll focus on our internal tools ecosystem for kitchen operations. Applications might include inventory tracking, recipe development, learning management systems, manager dashboards, performance metrics, robot user interfaces, and task scheduling. Translate complex user needs, business goals, and technical constraints into intuitive, high-quality, and scalable design solutions. Drive the design process from concept through launch, ensuring an optimal balance between user satisfaction, product performance, and engineering feasibility. You’ll build across multiple platforms and devices. Prototyping, testing, and iterating are part of our DNA and we expect that a successful candidate will have demonstrated experience using this process. Responsibilities Build UI/UX for robotic systems: Design and refine user interfaces for on-robot displays, customer-facing applications, culinary brands, and internal operational tools, ensuring a cohesive and intuitive experience. Conduct User Research: Plan and conduct qualitative and quantitative user research (e.g., interviews, usability testing) to gather deep user insights, validate design concepts, and ground the product roadmap in real-world user needs. Create Design Artifacts: Produce high-fidelity mockups, including working mockups rapidly created with generative AI tools, prototypes, detailed user flows, and clear specifications that clearly communicate design rationale and direction to engineering teams. Facilitate Cross-functional Execution and Co

Overview: Guidepoint's Market Research Team is Survey Fieldwork Specialist to help scope feasibility, conduct outreach and recruit respondents for online quantitative global market research studies. This position would be expected to work hours aligned with US-based colleagues on the East Coast. This project is an individual contributor role and will not include people management responsibilities. This can be a hybrid position out of one of our offices in India (Mumbai, Pune) or remote. What You’ll Do: Send outreach to survey respondents to invite them to complete custom surveys for Guidepoint’s market research team Schedule and tailor initial outreach and reminders to help maximize response rates, refining language and timing to ensure respondents across the globe/within different industries are appropriately connected with relevant research opportunities Search for and design outreach lists on a project-by-project basis, collecting specifications from project managers and analysts and ensuring high-quality, relevant individuals that would pass screening criteria are included in project outreach Coordinate with custom recruitment partners, both internally and externally, to collect additional sample for projects as needed Investigate, troubleshoot, and provide recommendations for projects fielding more slowly than expected Monitor and respond to internal and client requests for custom quantitative survey projects, collecting necessary requirements and inputs to provide timely and accurate pricing and feasibility to conduct online survey research Search databases of current respondents and past projects, along with coordinating with internal and external custom recruitment partners, to assess Guidepoint’s reach for specific audiences of interest and necessary price points to meet Guidepoint and client needs Ask questions, coordinate with research analysts and team leads, and use expertise from past projects to help recommend audience designs that will

Lead research that shapes better workplaces across Asia. As a senior consultant at Gallup, you'll partner with senior executives to solve complex workplace challenges through rigorous research, advanced analytics and evidence-based consulting. You'll lead high-impact client engagements from research design to executive recommendations while advancing Gallup's thought leadership across the region. Why Consulting and Research at Gallup For decades, Gallup has helped organizations answer some of the most important questions about work: What drives employee engagement? What makes a great manager? How do organizations build thriving cultures? How can organizations identify and select people who will succeed? The answers have inspired workplace practices around the world and informed some of Gallup's most recognized research, products and consulting services. As a senior consultant with expertise in workplace science, you'll contribute to the next generation of discoveries. Gallup offers research opportunities few organizations can match: Access to unique historical and longitudinal datasets on employee engagement, talent-based selection, organizational culture, wellbeing, leadership development and employee experience that few researchers will encounter elsewhere in their careers Opportunities to contribute to thought leadership, publications and client insights that influence leaders around the world Collaboration with researchers, consultants and subject-matter experts who are committed to turning evidence into meaningful workplace change A culture that encourages curiosity, innovation and exploration of emerging methods, technologies and AI-enabled approaches to research What You’ll Do Partner with clients and internal stakeholders to define business challenges, develop research strategies and lead the successful execution of client engagements Design and oversee quantitative and qualitative research that generates actionable insights for clients Translate sophisticat

Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that change patients’ lives. In this role, you will contribute to the discovery and advancement of innovative medicines for patients worldwide by applying rigorous science, modern pharmacology, and cutting-edge technologies. Your work will help transform promising therapeutic ideas into high-quality experimental data that enable confident decisions across the drug discovery process. What You Will Achieve A key strategic focus within the Internal Medicine Research Unit (IMRU) is the discovery of novel therapies for obesity, cardiovascular disease, and related cardiometabolic conditions. As an Associate Scientist in the In Vitro Pharmacology group, you will contribute to early drug discovery programs by generating rigorous, reproducible pharmacology data that support target validation, assay development, compound profiling, and mechanism-of-action studies. This role is well suited for a collaborative, hands-on scientist with experience in cell-based assay execution, mammalian cell culture, quantitative data analysis, and an interest in receptor pharmacology within cardiometabolic drug discovery. How You Will Achieve It Develop, optimize, and execute cell-based signaling, ligand-binding, and other in vitro pharmacology assays to generate high-quality data that support project decisions. Support compound profiling and mechanism-of-action studies through careful experimental design, troubleshooting, and quantitative data analysis. Maintain mammalian cell cultures and prepare fit-for-purpose cellular or membrane-based assay reagents to support screening, binding, and functional assay workflows. Apply core pharmacology concepts, including ligand potency, efficacy and affinity to interpret experimental results. Work collaboratively with pharmacology colleagues and cross-functional pr

JOB RESPONSIBILITIES A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact. You will gain exposure to a variety of activities, which may include: Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application. Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns. Analyzing very large data sets to extract features useful for predictive models. Providing research assistance to the team. Helping improve the team’s research infrastructure. DESIRABLE CANDIDATES Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines. Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets. Strong analytical and quantitative skills, and detail-oriented mindset. Proficient in Python or C++, and Linux environment. Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment. Willing to take ownership of his/her work, working both independently and within a collaborative team. Prior experience in the financial services industry is not required. Commitment to the highest ethical standards. The annual base salary range is $120000.00-$180000.00&n

Job Description We are seeking a small number of highly talented interns to assist in the development, optimization, and monitoring of our production trading platform and research infrastructure. Interns will work on small, highly collaborative teams. Desirable Candidates Undergraduate or graduate candidates in computer science or engineering Significant experience in Python, C++, C, or Java Serious interest in systems programming (e.g. Linux kernel development, compilers, embedded systems, networking, file systems, debuggers) In-depth understanding of how userland programs run on Linux and interact with the kernel Some basic knowledge of Git, databases (e.g. MySQL), and web development frameworks is a plus Clear, concise, and proactive communicator Detail-oriented Willing to take ownership of his/her work, working both independently and within a small team

Are you a self-starter who loves tackling challenging problems in a team-oriented, fast-paced environment? Do you love the idea of living in Vancouver? Our quantitative equity team is expanding, and we are looking for talented individuals whose skills and interests are aligned with the team’s mission to deliver superior investment performance to our clients through a disciplined, systematic investment approach. Jobs within our team lie at the exciting intersection of research, data science, finance, and technology. A culture of innovation, career growth and success through collaboration has enabled us to deliver superior investment performance to our clients for over two decades. Today, our clients entrust us with over $78+ billion USD in financial assets. What You Will Do This is an exciting opportunity for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management. You will then continue to a specialized group within our team based on a combination of your fit and preference. Your specialized role may involve building, scaling, managing, monitoring, and/or trading our quantitative model and portfolios. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Groups within our team where you can contribute and gain valuable experience include: Investment Process Management Our Investment Process Management (IPM) group plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to d