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.

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.

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.

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.

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.

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.

Support the Commercial & Investment Bank Research team with financial statement modeling, valuation, data analysis, market monitoring, and writing research notes. Assess news events, develop trade ideas, advise clients, and collaborate on projects. Program includes training, networking, and potential full-time conversion based on performance.

Support the Treasury & CIO credit business by developing, validating, implementing and documenting valuation, risk, and P&L models, integrating analytics into risk/PL systems, and coordinating model approval and governance with control teams.

Develop and deploy quantitative models for XVA, margin, and counterparty credit risk. Partner with trading, risk, and technology to translate business needs, provide production support, own implementation and testing, and drive model governance and validation.

Design, build and maintain production-grade algorithmic trading systems for systematic Rates markets. Translate research prototypes into reliable, low-latency production code, optimize performance, automate deployments, monitor and resolve production issues, and collaborate with traders and researchers on models, hedging, risk and allocation.

Support management of a loan portfolio through credit analysis, modeling, forecasting and valuation. Generate trade ideas, communicate portfolio strategies, cover multiple credits, collaborate with portfolio managers and traders, oversee and train junior researchers, and perform data analysis and automation to support CPG originated Synthetic Risk Transfers.

Lead and conduct commercially oriented AI research: formulate problems, develop algorithms and benchmarks, run experiments, produce production-quality Python code, collaborate with engineering and business stakeholders, publish findings, and own strategic research portfolios that drive business impact.

Design, analyze, and optimize protocols for universal fault-tolerant quantum computation. Perform analytical and numerical circuit-level QEC studies, implement and validate protocols on quantum hardware, maintain accessible codebases, and document results in scientific publications to enable fault-tolerant execution of quantum algorithms.

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.

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.

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.