Top Research Jobs in NYC, NY

Supports portfolio managers in constructing multi-asset portfolios, researching global equities, evaluating mutual funds and ETFs, analyzing markets, and developing investment recommendations. The role also assists with portfolio implementation, trading processes, client materials, and stakeholder coordination across governance, risk, operations, and technology.

Lead global thematic research across supply chains, advanced manufacturing, defense, aerospace, energy, strategic technologies, and pharmaceuticals. Analyze industry fundamentals, policy, geopolitics, market signals, and quantitative indicators; produce commercial research and actionable insights; collaborate across banking research and business teams; communicate findings through written reports and client engagements.

Lead research and production development for LLM post-training in quantitative finance. Responsibilities include designing RLHF, DPO, reward modeling, and policy optimization methods; building preference-data and training infrastructure; managing large-scale compute; developing evaluation frameworks; collaborating with quantitative researchers; and supporting production systems.

Conduct AI and machine learning research during a 10-week summer internship. Develop techniques and infrastructure, write code, run experiments, analyze noisy financial data, and collaborate with experienced researchers. The role focuses on deep learning, large language models, reinforcement learning, data pipelines, cloud computing, and multi-machine research environments.

Conduct AI and machine learning research for financial-market applications, developing predictive models, infrastructure, prototypes, and production systems. Apply deep learning, large language models, and reinforcement learning to noisy data. Write code, run experiments on cloud and CPU/GPU infrastructure, collaborate across teams, contribute to products, and engage with internal and external research communities through publications and conferences.

Develop and productionize software for portfolio research, optimization, forecasting, and simulation. Partner with quantitative researchers to prototype architectures, accelerate research, analyze model impact, evolve core systems, and build expertise across portfolio research domains. The role requires strong software engineering and quantitative skills, including mathematical optimization, linear algebra, statistical methods, and numerical methods.

Leads bladder cancer market research and integrated commercial insights for Pfizer’s brand teams. Designs qualitative and quantitative studies, manages vendors and budgets, synthesizes analytics and competitive intelligence, supports forecasting, and delivers strategic recommendations to senior stakeholders. The role also pilots AI-enabled research workflows while ensuring regulatory compliance, data privacy, audit readiness, and methodological rigor.

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.

Develop and improve mathematical models for trading strategies, conduct research and statistical analysis in a fast-paced team environment.

Collaborate with quantitative researchers to analyze data, develop research tools, and enhance and maintain automated trading systems and algorithms. Build scalable software solutions using quantitative techniques to address complex financial problems. The role requires strong programming, Linux development experience, creative problem-solving, business-value prioritization, and effective stakeholder communication.

Conduct end-to-end sector research for volatility trading, generating differentiated investment ideas and translating fundamental, quantitative, alternative, and qualitative information into outcome distributions. Pitch theses to portfolio managers and traders, structure options trades, monitor positions through their lifecycle, and perform post-event reviews. Responsibilities include primary research, financial modeling, valuation, statistical analysis, and potentially developing AI-driven research workflows.

Conduct industry and policy thematic research across areas such as defense, manufacturing, energy, technology, sustainability, and development finance. Analyze industry drivers, develop quantitative indicators, project thematic developments, and produce research reports, presentations, and actionable insights. Collaborate across research and business teams, communicate findings to internal and external audiences, support client engagements, and maintain external relationships.

Develop AI/ML analytics, automation, and decision-making tools for Securities Services, Payments, and CIB Treasury. Responsibilities include designing scalable transaction-data architecture, optimizing deposit management and net interest income under financial constraints, developing models from prototype through production, presenting quantitative insights, and collaborating across quantitative research, treasury, technology, investment, and data analytics teams.

Conduct equity research on small- and mid-cap software companies by analyzing financial statements, industry and market data, and maintaining financial models and databases. Co-author research content with the Senior Analyst, communicate investment conclusions, attend industry events, develop company relationships, and collaborate across research teams. The role requires FINRA licensing, regulatory compliance, background screening, and up to 10% travel.

Research web application vulnerabilities and exploitation techniques, develop and maintain Cloudflare WAF managed rules, investigate false positives and missed attacks, test defenses against bypasses, automate exploit reproduction and validation, and use SQL and production telemetry to measure detection quality. The role collaborates with engineering, product, and customer-facing teams while documenting security research and mitigation decisions.

Leads health economics and outcomes research and real-world evidence projects for pharmaceutical, biotech, academic, and other partners. Designs and analyzes pharmacoepidemiologic studies, treatment patterns, healthcare utilization, causal inference, and survival analyses. Builds reusable analytical infrastructure, collaborates with scientists, engineers, and product teams, interprets results for stakeholders, supports publications and regulatory work, and ensures compliance with data governance and applicable regulations.

Develop and enhance derivative pricing and cross-asset diffusion models for commodities and foreign exchange. Conduct model testing, documentation, validation, and performance reviews. Provide quantitative support for P&L attribution, risk decomposition, hedging, counterparty credit risk, and exposure monitoring. Build high-performance C++ libraries and analytical tools using stochastic modeling, optimization, Monte Carlo methods, econometrics, and machine learning. Collaborate with trading, front-office, and credit risk teams on transaction onboarding and governance.

Conduct equity research covering small- and mid-cap biotech companies. Responsibilities include financial modeling, forecasting, valuation, analysis of filings and industry events, research report writing, client communication, and collaboration with Sales and Trading. The role requires strong finance, accounting, quantitative, communication, and Excel skills, along with FINRA Series 86 and 87 licenses.

Conduct equity research on life science tools and diagnostics companies by analyzing filings, earnings, news, industry trends, and financial data. Build Excel-based forecasts and valuation models, write research notes and sector reports, develop investment insights, and communicate findings to clients, management teams, and internal Sales and Trading partners. Fulfill market intelligence requests while collaborating effectively in a fast-paced research environment.

Conduct fundamental equity research on SMid biotech companies by modeling financials, forecasting industry dynamics, performing valuations, analyzing filings and news, writing research reports, and communicating investment insights to clients, industry experts, and management teams. The role also supports sales and trading through market updates and intelligence.

Own and grow a portfolio of global consulting and professional services firms, driving expansion, cross-sell, pricing, renewals, and seven-figure growth. Build executive relationships, convert engagement-based usage into enterprise agreements, lead cross-functional account teams, negotiate complex global contracts, conduct executive business reviews, maintain accurate forecasts in Salesforce, and provide customer insights to product and pricing teams. Regular travel to customer sites and periodic travel to headquarters are required.

Provides senior leadership for global equity manager research, overseeing investment recommendations, research quality, manager conviction, team development, stakeholder partnerships, and platform strategy. The role leads a global team of equity specialists, collaborates with investment teams and clients on manager selection, and advances research through quantitative analysis, data, AI, and technology.

Conduct equity research on large-cap software companies by analyzing financial statements, regulatory filings, news, industry dynamics, and market events. Build Excel-based financial models, perform forecasting and valuation, write research notes and sector reports, and communicate investment insights to clients, management teams, and internal sales and trading partners. Fulfill client requests while developing differentiated research ideas and maintaining strong relationships.

Leads research operations by recruiting participants, coordinating in-person studies, managing vendors and research programs, and designing scalable systems for insight sharing. Partners with Legal, Safety, and IT to support secure, ethical data practices. Removes operational blockers, improves workflows through AI and emerging tools, and builds operating models aligned with product development and research needs.

Leads vulnerability intelligence research focused on rapidly analyzing and exploiting newly disclosed or actively exploited vulnerabilities. Develops Metasploit modules and framework improvements, conducts zero-day research, publishes technical analyses, advises detection teams, supports emergent threat response, presents research publicly, and mentors other researchers. The role requires advanced exploitation, reverse engineering, operating system, networking, and exploit mitigation expertise, plus cross-functional communication during time-sensitive security events.