Top Research Jobs in NYC, NY

Conduct quantitative research using surveys, experiments, and advanced statistical methods for healthcare and life sciences client engagements. Analyze data, develop insights and visualizations, support rigorous research design, and translate findings into actionable recommendations. Collaborate with consulting teams and global delivery groups while ensuring research quality and communicating complex concepts to technical and non-technical audiences.

Conduct semiconductor equity research by analyzing financial statements, regulatory filings, news, industry trends, and company events. Build Excel-based financial and industry models, perform valuations, develop stock recommendations, and write research notes and sector reports. Communicate findings to clients, management teams, industry experts, and internal Sales and Trading partners while fulfilling market intelligence requests.

Leads scalable, multi-method UX research programs across complex product domains. Conducts qualitative and quantitative studies, usability testing, behavioral analysis, and data triangulation to generate actionable insights. Partners with designers, data scientists, analysts, and product teams to define UX metrics, support hypothesis-driven design, accelerate continuous discovery, and influence product roadmaps. This individual contributor role also develops research platforms, workflows, governance practices, and mechanisms for cumulative user intelligence.

Serve as the research authority in pre-sales: join early meetings, lead methodological discussions, run demos and pilots, scope and deliver rigorous studies, support proposals/RFPs, and relay buyer feedback to product, sales, and marketing.

Design and execute prospective IRB-approved clinical studies, manage consent and patient enrollment, build cross-functional research infrastructure, pull and QC clinical datasets, create dashboards to monitor study health, and draft white papers, abstracts, and manuscripts for publication.

Develop and maintain pricing, risk, volatility, client, and hedging analytics for equity derivatives flow trading. Partner with traders to research volatility surface calibration, optimize pre-trade and post-trade analysis, manage risk inventory, and deploy production-ready quantitative solutions. The role requires advanced quantitative modeling, machine learning, market data analysis, and end-to-end ownership from prototyping through production.

Work on client engagements to solve business problems using market and desk research, quantitative analysis, and custom analyses (Excel, Access, Confirmit, proprietary tools). Communicate findings via presentations, manage project plans and client relationships, mentor associates, and support capability-building and delivery across marketing strategy projects.

Leads generative and evaluative UX research for ChaseAI products, designing studies, conducting surveys, interviews, ethnography, and user testing. Analyzes quantitative and qualitative data to generate actionable product recommendations, collaborates with designers, product managers, and developers, and mentors junior researchers and designers. Tracks emerging research and AI trends while communicating insights and recommendations to senior stakeholders.

Lead mixed-methods UX research for AI-driven digital channels, define research strategy, evaluate human+AI workflows, link insights to business metrics, build scalable research systems, and mentor junior researchers.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

The Research Specialist will assist the research team at Applecart in delivering data and strategic tools to stakeholders through research tasks, data entry, and by identifying publicly available data sources.

Lead and execute comprehensive generative and evaluative user research programs, using quantitative and qualitative methods to surface user needs and drive product and employee experience improvements. Translate findings into actionable recommendations, mentor junior researchers and designers, collaborate with cross-functional teams, and incorporate emerging UX research methodologies to influence strategy and product decisions across the firm.

Conduct novel AI/ML research and develop algorithms, benchmarks, and production-quality code. Collaborate with product and engineering teams to deliver scalable solutions across banking businesses, publish findings, and provide thought leadership.

Work on the FX quantitative trading desk to design and implement algorithmic execution strategies, build low-latency tools, perform pre- and post-trade transaction cost analysis, research micro-structure patterns, support day-to-day front-office operations, and collaborate with technology and trading teams to improve desk profitability.

Lead original research in quantum computing across algorithms, error correction, compilation, simulation, hardware experiments, and financial applications. Collaborate with hardware partners and business stakeholders to design experiments, develop scientific software, and publish in top-tier venues.

Develop and implement pricing and risk models for energy commodities, deliver front-office analytical tools, partner with trading and sales, lead projects, and provide technical model support and governance.

Lead research and production deployment of LLM-based agent systems for multi-step financial workflows. Define research directions (planning, tool use, safety), fine-tune and optimize models (PEFT, distillation, quantization), apply RL and preference optimization, scale systems (caching, batching, governance), implement privacy/safety controls (PCI, auditability), design experiments and metrics, and partner cross-functionally to deliver safe, explainable AI at scale.

Develop and implement quantitative pricing and risk models for vanilla and exotic derivatives across asset classes. Build Greeks and sensitivity frameworks, P&L attribution, factor models, stress testing, and structured product analytics. Partner with technology to productionize pricing engines, curate market data, validate models, and collaborate with portfolio managers and risk teams.

Lead execution research and TCA to shape e-trading product roadmap. Build and govern TCA frameworks, run market microstructure research and A/B tests, develop pre- and post-trade models, and partner with Product, Trading, and Technology to industrialize research into production capabilities and client-facing analytics.

Join the Credit Portfolio Group as a Quantitative Research Associate to build and deploy AI/LLM and ML-driven models, analytics, and automation for portfolio management, trading, and risk. Responsibilities include designing generative AI agents, implementing portfolio optimization and market-making enhancements, automating reporting, collaborating on model approvals, and integrating tools into risk and P&L systems.

Lead quantitative research and AI/ML model development for credit markets (corporate bonds, bond portfolios, fixed-income ETFs). Improve and deploy time-series and deep-learning models end-to-end, build trading tools and systems, collaborate with traders and market makers, analyze large market datasets, and translate insights into production trading strategies.

Conduct end-to-end alpha research and production deployment for systematic equity derivatives strategies. Build signal research, backtesting, attribution, and monitoring frameworks; model options and volatility dynamics; integrate fundamental, quantitative, and microstructure features; partner with trading on hedging, execution, and risk; and leverage AI/ML tooling to accelerate research and productionization.

Lead and publish original research in quantum computing across algorithms, error correction, compilation, simulation, and financial applications; collaborate with hardware partners; partner with business teams to solve computational finance problems; and develop scientific software for algorithm development, compilation, simulation, and benchmarking.