Top Research Jobs in NYC, NY

Paid 10-week investment research internship supporting fixed-income research analysts and portfolio managers. Responsibilities include financial modeling, scenario analysis, bond portfolio surveillance, credit research, market data collection, dashboards, reporting, portfolio management projects, new deal analysis, and market research. Interns gain exposure to institutional investing, collaborate with investment professionals, and participate in training, networking, and a summer project.

Develop and implement derivatives margin and counterparty credit risk models, including CVA, FVA, PFE, capital, and stressed exposure models. Conduct stress calibration, historical backtesting, documentation, rigorous testing, source control, release testing, and deployment. Engage clients throughout the model lifecycle, support deployed models, integrate solutions with risk platforms, and serve as a quantitative modeling subject-matter expert in regulatory meetings.

Support equity research and investment process for endowment and foundation multi-asset portfolios. Conduct original research across global equities, assist portfolio implementation and due diligence, maintain research and analytics tools, present findings, and collaborate with internal and external stakeholders on trade planning and performance analysis.

Leads strategic tax planning, R&D tax credit advisory, tax compliance, and restructuring projects for clients. Directs and coaches teams, ensures professional standards and independence requirements, identifies tax opportunities, communicates recommendations, incorporates client feedback, and fosters high-performing, inclusive teams.

The role involves supporting research collaborations in oncology, engaging KOLs, managing study proposals, and contributing to medical writing and strategy development.

Lead research strategy and execution across Expedia Group’s Partner Tools portfolio, including hotel and vacation rental tools, APIs, advertising, and AI-powered experiences. Manage and develop a senior research team while conducting hands-on qualitative and quantitative research. Partner with product, design, engineering, and data science teams to translate partner insights into strategic decisions, establish scalable research frameworks, and evaluate emerging AI and agentic product experiences.

Conduct advanced qualitative and quantitative user research, including usability testing, interviews, surveys, ethnography, heuristic evaluation, and participatory design. Analyze research data, identify user needs and trends, and deliver actionable recommendations that shape product design and functionality. Collaborate with product, design, and development stakeholders, contribute to research strategy, connect findings to business goals, and apply AI-assisted research methods while considering ethics, privacy, and accountability.

Design, implement, and support algorithmic execution strategies for institutional clients. Collaborate with sales and technology to analyze trading data, backtest strategies, manage execution risk, resolve day-to-day execution issues, and report insights to senior stakeholders while maintaining controls and compliance.

As a PhD intern, you will design and develop software solutions for automated trading systems, collaborating closely with the Quantitative Research team.

Optimize and manage portfolio-level trading strategies by translating quantitative research into production. Tune allocators and risk, minimize trading costs and market impact, monitor performance in real time, and conduct statistical research to improve risk-adjusted returns.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Conduct equity research on broadline and specialty retailers by analyzing financial statements, regulatory filings, news, and industry trends. Build Excel-based forecasts and valuation models, write company and sector research reports, develop investment insights, and communicate findings to clients, industry experts, and management teams. Collaborate with Sales and Trading while fulfilling client requests and maintaining detailed, timely research coverage.

Conduct equity research on retailing companies in the hardlines and broadlines sectors. Responsibilities include financial modeling, forecasting, valuation, analysis of filings and market events, writing research reports, preparing presentations, generating investment ideas, and communicating with clients, industry experts, and management teams. The role requires strong finance, accounting, quantitative, writing, and communication skills, along with advanced Excel proficiency and FINRA Series 86 and 87 licenses.

Design and run generative and evaluative user research (surveys, interviews, ethnography, quantitative and qualitative methods). Analyze data to surface patterns and actionable recommendations, collaborate with cross-functional teams to integrate insights into product design, and contribute to research strategy and industry trend awareness.

Lead and mentor applied research teams to design, train, evaluate, validate, and deploy large-scale AI foundation models. Partner with cross-functional product and engineering teams to deliver production AI platforms, perform high-impact applied research, scale training and inference, and represent Capital One in the research community.

Develop quantitative analytics, pricing, risk, P&L, and lifecycle models for exotic equity derivatives. Build derivative product frameworks using C++ and Python, apply machine learning and dependency-graph programming, validate models, document methodologies, monitor model risk, and support traders through risk analysis, scenario testing, and explanations of model behavior.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

This role involves developing AI applications, focusing on LLMs and agent frameworks, and requires research skills in ML with experience in data strategy.

Lead and manage R&D tax credit and specialized tax engagements: develop tax strategies, ensure compliance, mentor staff, manage budgets and timelines, build client relationships, and drive innovation in service delivery.

The Senior Director role involves leading structured finance research and originations, underwriting transactions, negotiating terms, and performing in-depth credit analysis while collaborating with various stakeholders.

Provide specialized tax advice on complex areas including R&D tax credits and accounting methods. Analyze tax regulations, optimize client tax positions, document strategies, and uphold PwC technical standards. Collaborate with clients, mentor junior staff, build relationships, and apply analytical and technical writing skills to support tax planning and compliance in a hybrid professional environment.

11-week quantitative research internship developing and implementing mathematical and trading models. Responsibilities include model conceptualization, backtesting, live implementation, using unconventional data, and conducting statistical research to refine trading signals and monetization systems.

Intern will help turn quantitative research into production equities trading strategies, optimize portfolio allocation and risk, minimize trading costs and market impact, monitor performance, and perform statistical research to improve risk-adjusted returns while making real-time allocation decisions under supervision.

Design, build, and maintain distributed cloud services to support advanced threat detection. Collaborate with security, data science, and engineering teams to integrate capabilities into the Falcon platform, ensure production reliability, and leverage AI/LLMs to improve detection and automation. Mentor peers and contribute to scalable, high-availability system architecture.

Conduct AI security research, agentic and LLM testing, vulnerability discovery, adversary simulations, and full-chain red team operations. Test WAF, EDR, and SIEM detection efficacy using MITRE ATT&CK, collaborate with blue teams and incident response, develop detection validation frameworks, report risks to executives, and mentor security professionals.