Quantitative Research Intern Jobs

Technical Business Analyst, Point72 A Career with Point72's Trade Research Team Point72’s Trade Research team supports the firm’s trading activity by delivering research, market data, and day-to-day support that help quantitative researchers and portfolio managers make informed decisions. WHAT YOU’LL DO Partner with Technology, Operations, Trading, Compliance, and other teams to prioritize, scope, and execute projects that support the Trade Research function Design and improve day-to-day workflows that leverage new technologies to increase team productivity and efficiency Coordinate with brokers and third parties to implement trading connectivity and resolve operational issues Streamline the team’s process for evaluating, investigating, and purchasing new market data Build strong relationships across internal functions to support research teams and address daily operational needs WHAT’S REQUIRED Strong project management and organizational skills, with the ability to prioritize multiple initiatives and drive them to completion Technical fluency, including coding experience and familiarity with cloud technologies such as AWS High degree of agency and ownership, with the ability to identify needs, solve problems, and execute independently Experience building partnership across business and operations functions Ability to design, improve, and document workflows that increase efficiency and support day-to-day operations Comfort working with market data, trading systems, brokers, and other third-party providers Strong communication skills and the ability to build relationships with internal stakeholders A proactive, solutions-oriented mindset, with strong attention to detail and a focus on operational excellence Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Voluntee

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 Finance team is seeking a Growth Strategic Finance Senior Manager with a track record of delivering strategic projects from ideation to completion. We are looking for a motivated individual to act as a key player in our growth and strategic planning. The successful candidate will be responsible for driving and executing high-impact initiatives that align with our organizational goals. This role offers a unique opportunity to shape the future of our company and contribute to its long-term success. If you are someone who is passionate about growing with a rising business, values efficiency and creative problem-solving using financial/quantitative metrics, and thrives in a fast-paced, open and fast-growing environment, then this is a great role for you. Location : Remote - USA Responsibilities: Collaborate with cross-functional teams to identify and assess opportunities to drive users and revenue – emphasis on consumer and ads products, sales, and marketing Establish strong partnerships with key stakeholders to ensure seamless execution and drive initiatives from ideation to completion. Influence decisions and drive change through clear recommendations, constructive challenge, and stakeholder alignment. Build models, forecasts, and business cases to guide planning, investment, and resource allocation. Conduct thorough market research to analyze industry trends, competitive landscape, and user and advertiser needs. Develop and present strategic growth initiatives, leveraging insights from research. Work with

About The Role Together AI is rapidly scaling its compute infrastructure across multiple sites and deployment types. The Associate, Infrastructure Strategy & Operations will be the analytical backbone of the Infrastructure Strategy team, powering the research, benchmarking, and operational analysis across the team's core workstreams, including capacity planning, compute sourcing, vendor evaluation, and site selection. You'll be the person who keeps the team organized and well-informed as infrastructure scales, partnering closely with Infra Eng and Finance to ensure timely, data-backed decisions. Responsibilities Support the Infrastructure Strategy team's planning process by gathering data, running comparisons, and preparing materials and recommendations for leadership reviews. Build internal trackers and dashboards that help the team monitor infrastructure deployments, vendor pipelines, and compute allocations across products and customers Maintain and improve the team's sourcing comparison frameworks across location, vendor, and site evaluation workstreams, in partnership with Finance and Infra Eng. Run analyses to support capacity allocation decisions. Research and evaluate data center sites and energy sourcing options, comparing power availability, connectivity, permitting timelines, deployment readiness, and reliability. Champion process improvements across the Infrastructure Strategy function, collaborating cross-functionally with Engineering, Data, and Finance to design AI-native workflows that streamline operations and automate repetitive analysis. Take on ad hoc analytical projects as priorities evolve, operating with speed and minimal direction. Requirements 3+ years of experience in management consulting, business operations, strategy, or a similar analytically rigorous role. Proficiency in Excel/Google Sheets, familiarity with SQL or data visualization tools, and comfort with AI productivity tools (e.g., Claude Code, Codex). Strong quantitative skills

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. Develop performance models to guide decisions on: scale-up vs. scale-out architectures interconnect and network design memory hierarchy and system balance. Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. Influence reference designs and vendor roadmaps through data-driven insights. Partner closely with machine learning, systems, and hardware teams to understand workload characte

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

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Team The Account Management team at Bridge is dedicated to the growth, retention, and expansion of key customers. Our Scaled Account Management team focuses on driving measurable expansion across a broad portfolio of mid-market and high-growth customers through data-driven strategies, efficient processes, and strong cross-functional partnership. What You'll Do As a Scaled Account Manager at Bridge you will own a book of existing accounts and be responsible for expanding revenue, identifying product gaps and driving product adoption, preventing churn and ensuring renewals at scale. You will combine consultative selling with volume playbooks, prioritization based on quantitative signals, and hands-on execution to identify and close upsell opportunities across your territory. As Bridge continues to develop within Stripe’s Money Management organization, you will also drive your customers’ adoption of additional features available through Stripe. Responsibilities - Own a book of existing accounts and drive revenue growth through additional usage, upsells, cross-sells, and renewals. - Develop and execute scalable go-to-market strategies that increase revenue per account and accelerate product adoption across your portfolio. - Use data and quantitative analysis to prioritize accounts and identify the highest-impact expansion opportunities. - Generate leads through targeted outreach, research, and campaign execution; manage high-velocity deal cycles

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Install, start-up, and continually improve cutting edge semiconductor processing equipment and hardware both internally with process engineering and externally with vendors to enable leadership in next-gen memory. Apply project management skills to projects and demonstrate the ability to exchange complex information with customers Set Module Level. Identify alternate CMP/Bond hardware technologies Recognizing opportunities and provide feedback to R&D personnel for technical innovation. Mentor new engineers and other upcoming engineers. Drive module level development and lead large projects of a technical nature. Standardize methods and procedures across area, department and/or FABs. Research, gather and analyze information related to specific assignments within your technical discipline. Recommend process or equipment changes to improve FAB metrics Interpret results and conduct quantitative analyses. Interpret results of new or modified equipment or processes. Design, develop, and implement technical products, systems, or processes to improve product quality and/or Fab performance Evaluating issues and define solutions to develop and implement improvements in equipment or processes to improve scrap, cost, rework, cycle time, throughput or yield. Resolve integration issues through process development. Identify and evaluate interactions between equipment, modules and processes and resolve related issues. Employer will accept a Bachelor’s degree in Engineering Technology, Electrical Engineering, Materials Engineering or related field and 2 years o

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description: You will proactively construct and own an AI-forward research roadmap for key product pillars at Okta, operating at the intersection of Identity, Security, and Artificial Intelligence. As a Staff-level individual contributor, you will drive both qualitative and quantitative methodologies to define user experiences for non-deterministic AI agents, automated workflows, and enterprise platforms. Additionally, you leverage agentic tools and AI workflows internally to scale qualitative coding, synthesis, and research operations across the organization. In this role, you’ll get to: Drive Product-shaping Research: Lead foundational and evaluative research to inform strategic and tactical product decisions. Execute Balanced Mixed-Methods: Drive qualitative depth (contextual inquiry, cognitive walkthroughs) and quantitative rigor (large-scale surveys, behavioral telemetry, statistical modeling) to evaluate AI products. Pioneer AI Research Operations: Integrate AI tools, prompt engineering, and agentic research workflows into your daily practice to accelerate quality research outputs. Lead Cross-Discipline Collaboration: Facilitate research to drive cross-discipline clarity, executive alignment, and decision-making across complex security and admin workflows. Solve Complex Problems: Bring stakeholders together across multiple teams to scope problems and collaborate on research in ways that nurture a culture of curiosity and learning. Cultivate E

Scale’s Generative AI business unit is experiencing historic growth. As the Community Manager, you will spearhead initiatives connecting hundreds of thousands of expert contributors on our platform. This is a strategic operational role requiring the execution of an operator, program manager, and creative writer. You’ll need an entrepreneurial mindset, operational rigor, and the ability to communicate effectively with diverse stakeholders across internal and external community channels. Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Our Generative AI unit partners with the world's most advanced research teams to improve their models with human data. You will ensure that our global network of contributors stay engaged and informed so that they can do their best work. You will manage communications, execute virtual campaigns and events, and develop strategies to grow and retain our contributor base. This pivotal role shapes community culture, facilitates a thoughtful contributor experience, and harnesses the energy of our community in order to achieve high-level business goals. You must employ creative problem-solving to resolve complex operational challenges and manage the communications cadence across diverse stakeholders. In this role you will: Create strategies to increase participation and satisfaction, overseeing external platforms like Reddit and managing our internal Outlier Community Develop systems to efficiently channel questions, feedback, and disputes across our platforms and social channels Lead with vision: Set direction for multi-team areas and inspire clarity and alignment Organize virtual events to foster connection and monitor community sentiment in order to proactively mitigate risk and address concerns Leverage user feedback, insights, and quantitative metrics to drive improvement in product and operational strategies Enable the team: Instill ownership, drive cross-team collaboration, and remove structur

Opportunity Overview: We are seeking a Healthcare Analytics Analyst to join our Analytics team. In this role, you will conduct analyses that drive our strategy, inform product performance, and provide insights critical to the development of new clinical intervention strategies and product enhancements. You'll partner closely with cross-functional teams and clients to optimize auto-decisioning performance and deliver increased value. This is an opportunity to directly impact company growth and assist patients at a critical time in their healthcare journey. What you'll do: Research, build, execute and optimize auto-decisioning strategy for new client implementations Work with multiple types of healthcare data to build and maintain analytical and reporting solutions to support strategy and program decision making Identify optimization opportunities based on analyses to improve auto-decisioning performance and drive increased value for clients Perform quantitative analysis of health care cost, operational performance and clinical outcomes using claims and authorization data Track cost, utilization and industry trends to inform stakeholders of solution performance and provide insights around opportunities to optimize clinical value for patients, providers and payers Prepare information for clients, build reports, data visualization and self-service solutions for internal and external stakeholders Develop, review, and analyze detailed data sets leveraged for client reporting/analytics Collaborate with IPA team on rule refinement and metric tracking What you'll need: Must-haves 2-5 years in an analyst role, ideally at a health tech company, health plan, or healthcare consulting firm Has worked hands-on with claims data, authorization data, or utilization management data Proficient in SQL (daily use) Has built and maintained dashboards in Tableau or PowerBI for internal and external stakeholders Bachelor's degree in Health Informatics, Public Health, Data Analytics, o

A CAREER WITH POINT72'S INTELLIGENCE TEAM Point72’s Intelligence team sets the industry standard for intelligence driven analysis by proactively identifying, monitoring, and assessing various sources of risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. WHAT YOU’LL DO We are looking for a subject matter expert to join a dynamic assessment and selection team with highly visible impact. You will collaborate across departments internally and provide recommendations to senior leaders based on your judgments and insights. You will be a hands-on practitioner, designing and conducting applied research. This is NOT a clinical role. Specifically, you will: Apply domain expertise to support the firm in identifying, assessing, and interviewing candidates Develop and implement research-driven assessment tools and processes Synthesize findings, author reports, and produce high-quality recommendations for senior leaders across the firm Serve as a technical advisor in the domain of psychology and brief internal stakeholders on team processes Identify and integrate emerging research and techniques that improve internal processes WHAT’S REQUIRED PhD degree in cognitive psychology, neuroscience, decision science, social psychology, organizational psychology, or a related field Excellent written and verbal communication skills, with the ability to make complex concepts clear to senior stakeholders Demonstrated experience designing, evaluating, and interpreting qualitative and quantitative assessments and organizational data Experience conducting structured interviews and translating interview data into evidence-based assessments Strong critical thinking skills, including the ability to evaluate alternative explanations and guard against bias Ability to collaborate across departments and provide clear recommendations based on sound judgment Willingness to quickl

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. You will proactively construct and own an AI-forward research roadmap for key product pillars at Okta, operating at the intersection of Identity, Security, and Artificial Intelligence. As a Staff-level individual contributor, you will drive both qualitative and quantitative methodologies to define user experiences for non-deterministic AI agents, automated workflows, and developer platforms. Additionally, you leverage agentic tools and AI workflows internally to scale qualitative coding, synthesis, and research operations across the organization. In this role, you’ll get to: Drive AI Agent Research: Lead foundational and evaluative research on autonomous AI agents and the security thereof. Execute Balanced Mixed-Methods: Drive qualitative depth (contextual inquiry, cognitive walkthroughs) and quantitative rigor (large-scale surveys, behavioral telemetry, statistical modeling) to evaluate AI products. Pioneer AI Research Operations: Integrate AI tools, prompt engineering, and agentic research workflows into your daily practice to accelerate quality research outputs. Lead Cross-Discipline Collaboration: Facilitate research to drive cross-discipline clarity, executive alignment, and decision-making across complex security and admin workflows. Solve Complex Problems: Bring stakeholders together across multiple teams to scope problems and collaborate on research in ways that nurture a culture of curiosity and learning. Cultivate Empathy: Design mechanisms to bui

Req: FEQ227R196 Location: Tokyo, Japan Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.)

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Team The Account Management team at Bridge is dedicated to the growth, retention, and expansion of key customers. Our Scaled Account Management team focuses on driving measurable expansion across a broad portfolio of mid-market and high-growth customers through data-driven strategies, efficient processes, and strong cross-functional partnership. What You'll Do As a Scaled Account Manager at Bridge you will own a book of existing accounts and be responsible for expanding revenue, identifying product gaps and driving product adoption, preventing churn and ensuring renewals at scale. You will combine consultative selling with volume playbooks, prioritization based on quantitative signals, and hands-on execution to identify and close upsell opportunities across your territory. As Bridge continues to develop within Stripe’s Money Management organization, you will also drive your customers’ adoption of additional features available through Stripe. Responsibilities - Own a book of existing accounts and drive revenue growth through additional usage, upsells, cross-sells, and renewals. - Develop and execute scalable go-to-market strategies that increase revenue per account and accelerate product adoption across your portfolio. - Use data and quantitative analysis to prioritize accounts and identify the highest-impact expansion opportunities. - Generate leads through targeted outreach, research, and campaign execution; manage high-v

CSQ427R171 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: 7+ years of experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical exp