Quantitative Research Intern Jobs

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Research Analyst - Associate Managing Consultant All About the Role Advisors Research Center is a new capability designed to respond to fast evolving customer needs for high-quality research support, with the important mission of value realization in developing insights and recommendations. This capability augments Advisors traditional areas of strength. Advisors research center is a global research-oriented competency that applies proven, accredited research and domain experience to partner with any client worldwide to help them drive measurable value by Delivering new research products and strategies to market smoothly and efficiently Successfully leveraging research assets and delivering the most challenging research output that’s impactful for clients Ability to provide key insights based on primary research (qualitative and/or quantitative) is essential Ability to also analyse secondary research and/or large data sets would be an advantage All About You Worked on a variety of research projects (both primary and secondary research). Experience of working on projects involving primary research (quantitative techniques including surveys and qualitative research including in-depth interviews, focus groups, online forums etc.) Able t

Head of Research Our work informs teams at every level of the company and drives key roadmap decisions. We partner with Product Design, Product Management, Data Science, and Engineering, as well as business and marketing teams, to get deep insights about our customer's behaviors and attitudes, translating them into actionable recommendations across the company. We think big about new areas, test developing concepts, and evaluate products and services once they’ve rolled out. We are looking for a Head of Product Research to lead a high-impact, mixed-method research practice spanning UX Research and Quantitative Market Research (QMR) at a pivotal moment in the company's evolution. In this role, you will build and lead a research function that generates actionable understanding of our users and their unmet needs, partnering across Product, Design, Engineering, and go-to-market teams to ensure insights are heard, applied, and reflected in strategic decisions. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define and own the research agenda mapped to our highest-priority product and business questions, setting the standard for how insights translate into decisions from framing through synthesis, storytelling, and follow-through. Champion a mixed-method approach—selecting qualitative, quantitative, or combined methods based on the strategic question—and serve as a thought partner to Design, Product, Data Science, and Engineering leadership. Lead and unify a combined UX Research and Quantitative Market Research (QMR) function, ensuring coordinated methodology and a holistic view of use

Work Flexibility: Hybrid As a Portfolio Manager on Stryker’s Knee team , you will help shape the future of the Partial Knee portfolio by identifying customer needs, supporting new product development, and building the business case for commercialization. You’ll leverage research, market intelligence, and cross-functional collaboration to bring forward-thinking strategies to life and support our mission of moving patient lives. What you will do: Develop portfolio and product strategies by translating customer, patient, and market insights into compelling value propositions and growth opportunities. Leverage qualitative and quantitative market research, Voice of Customer (VOC), competitive intelligence, and third-party data to identify customer needs, industry trends, and market opportunities. Partner cross-functionally throughout the New Product Development (NPD) process , helping advance new products from concept through commercialization. Build financial business cases and ROI models to evaluate new product opportunities and support investment decisions. Develop market assessments, volume forecasts, and commercialization strategies grounded in market dynamics, customer insights, risk, and uncertainty. Partner with Product Marketing to develop go-to-market and product launch strategies for new products. Identify opportunities for customer acquisition, retention, market expansion, and portfolio growth , evaluating the financial tradeoffs associated with each. Partner with Clinical Affairs and Product Marketing to develop clinical evidence, publication, and messaging strategies that support portfolio objectives. Lead Product Lifecycle Ma

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Technology is central to AQR’s success. As a Software Engineer in Portfolio Implementation , you will work on mission-critical systems that turn investment ideas into reality. Partnering closely with researchers and portfolio managers, you will design and build proprietary tools that support quantitative strategy research and systematic investing at scale. Your Role : As a Software Engineer in Portfolio Implementation , you will design, build, and extend systems that sit at the core of AQR’s investment process, including: Portfolio Implementation platforms that consume research outputs, perform constrained optimizations, and generate orders Cloud-based microservices engineered to run reliably and efficiently at scale Participate in architectural design discussions for high-performance, high-volume, highly available systems, gaining experience with trade-offs across performance, flexibility, and maintainability Bespoke technology solutions tailored to specific asset classes and evolving research needs Collaboration with a&nbsp

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. We develop strategies that drive awareness, engagement, and usage of OpenAI’s products and platform, helping people and businesses understand and realize the value of AI. The Marketing Insights & Analytics team develops a deep understanding of markets, audiences, behaviors, attitudes, and needs to inform marketing, product, and business decisions. We partner across OpenAI to build foundational audience understanding, shape marketing strategy, inform thought leadership, and measure performance. About the Role As Market Research Lead, ChatGPT you will help shape our Insights & Analytics strategy and set research direction for a major business area or cross-functional initiative. As a senior individual contributor, you will independently define and lead multiple complex research workstreams, connecting audience behavior, perceptions, and feedback to decisions across product, brand, and growth. You will anticipate emerging business questions, bring structure to ambiguous challenges, and translate research into recommendations that influence senior leadership. Alongside delivering hands-on research, you will establish methodological standards, develop foundational research frameworks, and mentor experienced peers. In this role, you will: Set research strategy, priorities, and goals for a major business area, aligning the research agenda with critical decisions and anticipating future needs. Independently define, prioritize, and lead multiple complex quantitative and qualitative research workstreams, balancing business impact, rigor, speed, and resources. Serve as a strategic partner to brand, product marketing, creative, product, and other teams, helping shape business strategy and goals through insights. Address challenges such as reaching new audiences, evolving our brand, positioning our pro

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 Our research center in Singapore is seeking an experienced researcher with a strong background in alpha research. In this highly selective role you will have access to abundant research resources and exciting opportunities to discover high quality alpha signals that directly drive our investment decisions. RESPONSIBILITIES Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES 2+ years of research experience in Equities. Ph.D. or M.S. in finance, accounting, economics, mathematics, statistics, physics, computer science, operations research, or another quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Demonstrated ability to learn and apply new methodologies to alpha generation. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Detail-oriented. Willingness to take ownership of his/her work.

Human Factors Engineer Description - This role is responsible for shaping the usability and overall user experience of physical products or systems. The role requires a strong blend of human factors expertise, research rigor, and user empathy. The role collaborates closely with cross-functional teams, including designers, product managers, engineers, and stakeholders, to create user-centered design solutions that meet both user needs and business objectives. The role conducts thorough user research to uncover insights, behaviors, and pain points, translating findings into actionable design solutions. Responsibilities Plans, designs, and conducts usability studies and human factors evaluations across multiple stages of product development. Executes formative and summative usability testing, including protocol development, participant recruitment, data collection, and analysis. Leads human factors validation activities in alignment with relevant standards. Applies quantitative and qualitative research methods to generate actionable insights. Analyzes research data and translates findings into clear, practical design recommendations. Prepares and delivers research reports and presentations for cross-functional stakeholders. Collaborates with industrial designers, engineers, and product managers to integrate user insights into product development. Benchmarks product usability and experience against key competitors. Identifies and surfaces usability risks early in development to reduce downstream cost and rework. Supports continuous improvement of research processes, tools, and best practices. Education & Experience Recommended Four-year or Graduate Degree in Design, Human Fac

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. The Consumer Insights Manager will be an embedded partner to Hasbro’s business portfolios within the Toys & Games organization. You will be responsible for completing global quantitative and qualitative research projects and analyzing data. You will translate your findings into actionable insights and recommendations that help build world-class brands, products, and marketing programs. The person in this position is driven by a deep passion for Hasbro's brands and curiosity about consumer needs and motivations. They fearlessly share consumer truths, trends, and insights with partner teams. Effective from the date that Hasbro opens its new Boston location, this position will be onsite Tuesday-Thursday at Hasbro's new HQ location in Boston, MA. In the interim, this position will be onsite Tuesday-Thursday at Hasbro's HQ in Pawtucket, RI or at Hasbro's temporary location in Boston, MA A Day in the Life as a Consumer Insights Manager: Develop a strong understanding of your portfolio's consumer, category, brands, and play patterns to support your growth as a voice of the consumer. Contribute to the team's ongoing monitoring of cultural and category trends, competitive landscape shifts, and emerging consumer behaviors — synthesizing and sharing relevant findings with cross-functional partners to inform innovation and go-to-market decisions. Manage multiple projects simultaneously across all phases of execution — briefing, project design, quantitative and qualitative input development, data collection, analysis, and reporting — with

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Healthcare is complicated: people are anxious about their health, insurance coverage is obscure, and there’s uncertainty in finding the right type of care. Meanwhile, providers face thin margins, growing competition, and operational workflows that drown their staff in administrative burden. As a Principal UX Researcher, you'll immerse yourself deeply in understanding these problems, and own the research strategy for one of Zocdoc's two core user groups: the patients searching for care, or the practices delivering it. You'll report to the Director of Research and partner with Product, Design, Brand, Marketing, and Data Science leadership to proactively shape product strategy. You'll set the bar for high quality strategic quantitative and qualitative research that cuts across product teams and shapes the product roadmap. You'll identify unanswered research questions and unvalidated assumptions across the company, develop a clear POV on user needs, and use research insights to drive business objectives. Your work will span th

A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quant Analyst - Risk for our team in Gurugram. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As a Quant Analyst - Risk you will be responsible Work as a team with senior traders to operate and implement/improve our automated trading strategies. Analysing production trades and developing ideas to improve our trading strategies. Implement monitoring tools which highlight potential issues in the production strategies. Write comprehensive and scalable scripts in both C++ and python analysing production strategies for risk attribution, performance break-ups along various buckets and so on. Build ‘cool’ scalable post-trade systems analysing multitude of statistics across all production strategies. Implementing tools for analysing Market Data centrally across various exchanges. Managing deployments and release cycle, with working along with a senior trader. Requirements : Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science from top-ranked universities 3+ years of experience in Python, Shell/Bash scripting. Basic knowledge of Linux and shell command-line tools Basic programming and scripting (Python/Shell) skills Strong problem-solving, and analytical skills Excellent communication skills Have a strong work ethics Mentorship experience in guiding junior developers. Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great idea

ROLE/RESPONSIBILITES Perform rigorous and innovative research to discover systematic anomalies in equity market End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation Identify and evaluate new datasets for stock return predictions Maintain and improve the portfolio trading in production environment REQUIREMENTS MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics 1+ years of work experience in systematic alpha research in equities Experience developing short term alpha signals (intraday or a few days) is a plus Demonstrated proficiency in R or Python Strong command of foundations of applied statistics, linear algebra, and time series models Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources Strong knowledge of financial markets Highly motivated, willing to take ownership of his/her work Collaborative mindset with strong independent research ability

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 Developer for a PM team focused on systematic credit and related asset classes. This is a unique opportunity to collaborate, learn, and lead technology projects with high business impact. Responsibilities: Design and develop software for strategy research and trading. Build and improve tools for data acquisition, processing, and visualization. Work on the execution/order management system, live dashboards, and P&L reconciliation tools. Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components. Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues. Collaborate with the portfolio manager, quant researchers, and traders. Requirements: Undergraduate or graduate degree in Computer Science. 2+ years of experience developing research and trading infrastructure at a financial institution, or demonstrated excellent skills required for the role. Prior experience with execution/order management systems, real-time data servers, and visualization is a plus. Solid understanding of Linux OS—system components, process management, shell scripting. Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management. Knowledge of SQL, JavaScript, Apache airflow. Strong communication skills. Willingness to take ownership of his/her work. Commitment to the highest ethical standards.

Role: Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities. Responsibilities : Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution Monitor, analyze and improve live trading P&L Collaborate with analysts and strategists to improve PM-facing content Requirements: Undergraduate, Master’s or PhD candidates in a technical field Demonstrated creativity and rigor in the research process Technically comfortable handling large datasets stored in AWS using Python Collaborative mindset Passion for research and financial markets Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment Commitment to the highest ethical standards

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p