Top Research Jobs in NYC, NY

Conduct equity research covering small- and mid-cap biotechnology companies. Responsibilities include financial modeling, forecasting, valuation, analysis of filings and industry events, writing research reports, preparing presentations, and communicating with clients, management teams, and industry experts. The role also supports Sales and Trading by providing market updates and investment insights.

Leads leveraged finance research across high-yield bonds, leveraged loans, and private credit. Provides sector expertise, fundamental credit analysis, security selection, relative-value assessments, positioning, and investment recommendations to portfolio managers and investment committees. Conducts due diligence with borrowers, advisors, and consultants; interprets market developments; and supports portfolio outperformance. Uses AI and large language models to accelerate research, surveillance, and analytical insight generation while collaborating across investment teams.

Lead global pharmaceutical and biotechnology client accounts for Tempus diagnostics and CRO offerings. Develop account strategies, exceed revenue goals, build executive and R&D relationships, negotiate complex agreements, identify opportunities across client portfolios, coordinate cross-functional teams, and support precision medicine case studies. Requires deep life sciences sales experience, diagnostic and drug development knowledge, and approximately 30% domestic and international travel.

Conduct equity research on mid-cap banks by analyzing financial statements, industry and market data, building financial models and databases, and authoring research content with the Senior Analyst. Develop company and industry expertise, attend relevant events, cultivate industry relationships, communicate investment conclusions, collaborate across research teams, and comply with financial industry regulations and licensing requirements.

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.

Paid 12-week applied research internship for current PhD students. Interns will develop and evaluate AI and machine learning solutions, collaborate with researchers, engineers, data scientists, and product managers, use technologies such as PyTorch and AWS, and contribute to production systems or academic publications. Research areas include foundation models, LLMs, reinforcement learning, causal inference, recommendation systems, interpretability, and agentic systems.

Develop and enhance quantitative models for collateral risk and lending value estimation. Conduct empirical research on market, liquidity, volatility, concentration, and idiosyncratic risks; establish performance benchmarks; curate and reconcile data; and provide insights supporting lending and product strategy. Partner with investment solutions, credit, risk, lending, technology, and model risk teams while communicating methodologies and findings to senior management and regulators.

Conduct deep AI and quantitative research for electronic trading by pre-training Transformer and time-series foundation models on large-scale market data. Develop representations, objectives, architectures, distributed training methods, evaluation protocols, and model-serving components. Fine-tune models for alpha generation, pricing, market making, execution, and risk management while studying scaling laws, transferability, robustness, data efficiency, latency, and economically meaningful trading outcomes.

Build high-performance technology for AI-driven systematic trading, including market-data, backtesting, simulation, model-serving, execution, and monitoring systems. Develop low-latency C++ services, scalable research pipelines, and production ML infrastructure. Optimize systems for throughput, latency, memory efficiency, resilience, and determinism. Partner with quantitative researchers and traders to productionize strategies and operate reliable live trading systems.

Develop modern C++ systems for systematic investing, including low-latency data processing, high-frequency trading execution, quantitative analytics libraries, and machine-learning inference tools. Collaborate with quantitative researchers to build scalable, reliable, and performant production platforms, design distributed data pipelines, evaluate system architectures, and maintain fail-safe live-market trading infrastructure.

Own customer relationships and independently design and conduct qualitative and quantitative research using Outset’s AI platform. Translate research data into actionable insights, lead customer meetings, onboardings, and training, and create research content and enablement materials. Collaborate with Sales, Customer Success, Product, and Engineering to convert customer feedback into business and product impact.

Leads partnership tax planning and compliance initiatives, oversees tax return preparation and review, provides strategic consulting, analyzes complex regulations, and optimizes client tax positions. Manages projects, timelines, budgets, stakeholders, and deliverables while mentoring team members and upholding professional standards. The role also promotes technology and innovation in tax service delivery and supports international taxation and regulatory compliance activities.

Leads and develops a team of researchers through onboarding, training, performance management, and direct oversight. Ensures client audiences are delivered on time by managing project priorities, understanding the internal technology platform, improving workflows, and reducing operational workload. The role also leads initiatives to streamline research processes and maintain high-quality output while supporting a fast-paced, entrepreneurial environment.

Conduct quantitative commercial research on industry policy themes spanning supply chains, advanced manufacturing, defense, energy, strategic technologies, and pharmaceuticals. Analyze industry and supply-chain drivers, develop thematic indicators, assess policy and geopolitical impacts, project market developments, and deliver actionable insights through reports and business writing. Collaborate across research and banking teams, maintain external relationships, and support client engagements.

Conduct thematic industry and policy research across supply chains, advanced manufacturing, defense, aerospace, energy, strategic technologies, and pharmaceuticals. Analyze industry fundamentals, supply chains, market signals, policy, and geopolitical risks; develop quantitative indicators and forecasts; produce research reports and actionable insights; collaborate across bank research and business teams; communicate findings through business writing; and maintain external relationships and client engagement.

Lead the research, architecture, and production delivery of agentic and generative AI solutions for complex banking operations. Design collaborating agents, reusable services, evaluation frameworks, and distributed machine learning systems. Establish experimentation, monitoring, safety, reliability, and governance practices while partnering with business, product, and engineering teams. Mentor engineers and researchers and drive technical alignment across stakeholders.

Conducts research on algorithms for large language models and agentic AI systems, improving learning efficiency, inference performance, accuracy, latency, and compute cost. Develops theoretical foundations, implements performant software, validates methods at scale, solves problems for internal teams, publishes findings, presents research, and contributes to intellectual property protection.

Develop client solutions through problem-solving, market and desk research, quantitative analysis, and insight synthesis. Create analyses using Excel, Access, Confirmit, and proprietary software; communicate findings through presentations; support client relationships and project planning; track risks, issues, deadlines, and deliverables; and mentor Associates. The role requires collaboration, strong communication, attention to detail, initiative, and a client-first mindset.

Own and scale Outset’s participant recruitment system across partners, internal processes, and product experiences. Manage vendor performance, negotiations, feasibility, quality, fraud prevention, and recruitment workflows. Build benchmarks, playbooks, training, customer-facing content, and internal tooling while partnering with Product and Engineering to improve recruitment capabilities. The role requires independent program leadership, cross-functional coordination, and deep expertise in digital qualitative research recruitment.

Manages clinical trial investigator sites from initiation through closeout, conducting onsite and remote monitoring, ensuring patient safety, GCP and regulatory compliance, resolving protocol and data issues, supporting enrollment and database release, overseeing investigational products, and managing documentation, audits, CAPAs, and site relationships. Mentors CRAs, supports feasibility and activation activities, and contributes to process-improvement initiatives. The role requires significant travel within the assigned cluster.

Manages investigator sites throughout clinical trials, including initiation, monitoring, recruitment support, compliance, patient safety, investigational product oversight, data query resolution, documentation, corrective actions, and site close-out. Serves as the primary site contact, coordinates with study teams and vendors, supports regulatory and audit activities, and ensures trial execution meets protocols, Good Clinical Practices, applicable regulations, timelines, and quality standards. Significant regional travel, occasional international travel, and some weekend travel are required.

Manages and monitors investigator sites throughout clinical trials, from feasibility and initiation through database lock and closeout. Ensures patient safety, protocol compliance, data quality, regulatory adherence, investigational product oversight, and timely issue resolution. Partners with investigators, study teams, vendors, and drug safety personnel; supports recruitment, audits, CAPA activities, regulatory inspections, and database release. Also mentors CRAs and contributes to process improvement initiatives. Requires 60–80% regional travel, with occasional international and weekend travel.

Conduct industry and company research covering Hardlines/Broadlines retail: build financial models, perform valuation and forecasting, analyze filings and news, write research notes and sector reports, and communicate findings to clients, sales/trading and management. Support client requests and generate differentiated research ideas while collaborating with internal teams.

Conduct quantitative portfolio and private markets research, build climate-aware capital market assumptions and stochastic simulation frameworks, design asset allocation analytics, and deploy AI-enabled, agentic workflows and tools to scale research and support portfolio construction and client engagement.

Conduct equity research on SMid Technology companies by analyzing financial statements, regulatory filings, news, and industry trends. Build Excel-based financial models, forecasts, and valuations; write company and sector research; prepare presentations; and communicate findings to clients, management teams, and industry experts. Collaborate with Sales and Trading to provide market updates and fulfill client requests while generating differentiated investment ideas.