Quantitative Research Intern Jobs

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role/Responsibilities: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals Perform feature engineering with order book tick data at intraday to daily horizons Perform feature combination using various modeling techniques ranging from linear to machine learning models Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Help drive the growth of the investment process and research capabilities of the team Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics 4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record Knowledge of market microstructure for futures and/or FX Prior experience with tick data based feature generation, modelling, and monetization Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas Collaborative mindset with strong independent research abilities Commitment to the highest ethical standards

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 Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. 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. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.

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 Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. 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. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.

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 Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group. RESPONSIBILITIES Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework REQUIRMENTS B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. Programming in Python (or comparable language) and working knowledge of SQL Strong analytical and quantitative skills. 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. Detail-oriented. Prior experience in the financial services industry is not required. A commitment to the highest ethical standards.

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

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Figma Research team is hiring an experienced researcher for our Rapid Research program. We're product builders who bring research expertise to the team, working closely with designers, product managers, and engineers to clarify problems, test ideas, and recommend what to change—often in one- to two-week sprints. You'll rotate across product areas, ramp up quickly, and build relationships as you go, energized by unfamiliar products and ambiguous problems and ready to take initiative rather than wait for a fully scoped brief. You bring strong opinions about what makes a great experience, grounded in the needs of the people using it, spot connections across product areas, and combine deep qualitative and quantitative research expertise with a flexible, resourceful approach to moving quickly without sacrificing rigor. Beyond individual studies, you bring a clear point of view on what to build or change, tailor your communication to your audience, and are willing to challenge assumptions and say the hard thing with care—asking for help when you need it and offering it when others do. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Scope and run focused research in quick sprints, using sound methods to answer the questions most likely to change a product decision Turn findings into specific recommendations a designer or PM can act on, working through tradeoffs and helping the team put them into practice Present produ

Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art resources and cultivate intellectual freedom, enabling our people to develop groundbreaking solutions to the most complex challenges of our field. Our collaborative approach celebrates excellence from everyone, regardless of tenure. Your Role Our Algorithmic Developers are researchers and engineers who transform complex quantitative concepts into high-performance trading strategies and systems that are efficient, stable, and scalable. You will be continuously challenged to think creatively while conducting rigorous analysis and improvements regarding market dynamics, strategy behavior, and system performance. If you are excited by the prospect of solving these sorts of problems in a collaborative, research-driven environment, we would love to get to know you. What We’re Looking For We seek talented engineers committed to the best algorithmic development practices. No financial knowledge is expected. You should have excellent programming and analytical skills and be excited to apply these talents within our state-of-the-art research and trading infrastructure. You should be motivated to take ownership over core projects and relentlessly drive decisive improvements. The ideal candidate will possess most of the following: PhD, master’s, or bachelor’s degree in computer science or a related field Strong background in data structures and algorithms, and mastery of C++ Applied knowledge of statistical analysis. Passion for solving complex quantitative problems through technology Strong communication skills to articulate complex technical concepts Job Compensation Range The base salary range for this role is $200,000 - $300,000. This does not include other forms of compensation and benefits that are part of Seven Research’s comprehensive package. We

Seven Research is a quantitative research and technology company that brings together exceptional people and state-of-the-art resources to solve complex problems in global markets. Our systematic approach combines technical rigor, creativity, and a focus on long-term performance. Our people are our core advantage. As we scale, we are building the infrastructure required to attract, hire, and retain exceptional talent in a highly competitive market. We are hiring a Technical Recruiter to help us identify, engage, and hire outstanding individuals across engineering and quantitative research, with a particular focus on building our campus recruiting, conference, and events strategy. About the Role This is a high-impact, high-ownership role at the center of Seven Research’s technical recruiting efforts. You will help build and manage the full recruiting lifecycle, including talent mapping, sourcing, candidate engagement, interview process management, event execution, and pipeline reporting. A major focus of this role will be developing Seven Research’s presence across top universities, technical programs, academic communities, conferences, and industry events. You will help design and execute a recruiting strategy that builds strong relationships with students, faculty, experienced candidates, and technical communities over time. This role is well suited for someone who understands the quantitative finance industry and can help us build our talent brand across both junior and senior candidate markets. You will work directly with leadership and partner closely with engineers, quantitative researchers, and other technical stakeholders to shape and execute our recruiting strategy. We are looking for someone who is passionate about building technical talent pipelines from the ground up. The ideal candidate can engage naturally with students and graduates from top engineering, mathematics, computer science, and quantitative programs, while also knowing how to attract, assess

Job ID: 111266 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Design and conduct studies across key product areas, utilizing methods such as ethnographic/field research, surveys, concept testing, usability testing, and any other methods you find impactful. Partner with our data scientists to provide qualitative context for their quantitative insights. Review, analyze, and communicate mixed methods data to generate tactical and strategic insights, as well as actionable recommendations that drive product innovation and design improvements for users. Find creative and compelling ways to generate, present, and evangelize results and recommendations throughout the company, in order to help cultivate a highly informed, more effective, and more empathetic organization. Work with cross-functional partners to shape product direction based on research findings and follow-up with partners about implementation to understand how findings are being used. Experience: Education and Experience: Master's degree or foreign equivalent in psychology, data analysis, statistics, or related field. 1 year of experience in job offered, data analysis, or related occupation. Skills: Experience with research and statistical analysis. Experience conducting qualitative and quantitative research. Experience analyzing data surveys, experimental studies, content analysis, and correlational research. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligib

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. We’re looking for a curious, motivated Consumer Insights Analysts to join our fast-paced team in the future! This is not a current opening however we are eager to find upcoming talent! In this role, you’ll help bring the consumer voice into every stage of product development—supporting research design, analyzing consumer data, and collaborating with cross-functional teams to translate insights into action. At SharkNinja, you won’t just support products that transform everyday life—you’ll grow in a high-performance, innovation-driven culture where your curiosity and contributions matter. Essential Functions: Assist in leading the development and execution of robust qualitative and quantitative research plans to uncover consumer needs , category trends, and whitespace opportunities that inform product innovation and business strategy. Help develop and master an und

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows. The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professiona

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. Are you excited by the opportunity to be part of a dynamic trading environment that values teamwork and collaboration? Do you thrive in an innovative atmosphere? If so, we encourage you to consider Chicago Trading Company! The Role The Quant Trading Associate (QTA) role is our entry-level position within our Trading and Quant organization and gives you broad exposure to the whole business as you work towards graduating from the Associate Program and assuming a role as a Quant Trader or Quant Researcher. As a QTA, you will work in a high-impact role as a member of a trading or quantitative team. You will play a vital part in identifying trading opportunities and impacting your team through dynamic problem solving — including trade execution, strategy formulation, back-testing, data analysis, and the modeling and pricing of traded financial derivatives — while communicating with traders, risk managers, software engineers, and quants throughout the trading day. You will learn all aspects of the trading and quant operation and work towards a role that generates trading revenue or drives strategy development for the team. In addition to the

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. Are you excited to play an important role in building next generation trading infrastructure and applications? Do you thrive in an innovative environment? If so, we encourage you to consider CTC! The Role We are looking for talented and motivated software engineers to join our engineering teams in designing, coding, and testing sophisticated trading tools and risk applications. These distributed real-time systems will require you to have a deep understanding of computer science concepts, strong software development skills and methodology, and effective communication and collaboration abilities. Software development cycles at CTC are short and releases of proprietary software are frequent. In this fast-paced and dynamic team environment, our engineers quickly see the results of their effort, and the impact it has on our businesses. Engineers will also have exposure to trading through our combined trading and technology curriculum which includes a shadow on one of our trading desks. What it takes for you to be successful You can apply understanding of data structures, algorithms, and multi-threading concepts to real-world problems You are curious ab

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. Are you excited by the opportunity to be part of a dynamic trading environment that values teamwork and collaboration? Do you thrive in an innovative atmosphere? If so, we encourage you to consider Chicago Trading Company! The Role The Quant Trading Associate (QTA) role is our entry-level position within our Trading and Quant organization and gives you broad exposure to the whole business as you work towards graduating from the Associate Program and assuming a role as a Quant Trader or Quant Researcher. As a QTA, you will work in a high-impact role as a member of a trading or quantitative team. You will play a vital part in identifying trading opportunities and impacting your team through dynamic problem solving — including trade execution, strategy formulation, back-testing, data analysis, and the modeling and pricing of traded financial derivatives — while communicating with traders, risk managers, software engineers, and quants throughout the trading day. You will learn all aspects of the trading and quant operation and work towards a role that generates trading revenue or drives strategy development for the team. In addition to the

OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes. We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios. You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safegu