Top Quant Finance Jobs

Analyze and manage Consumer & Community Banking interest rate risk and transfer pricing across deposits, cards, mortgages and loans. Maintain IRR models, perform scenario and sensitivity analysis, refine FTP methodologies, produce reports, and communicate recommendations to senior stakeholders. Leverage Python and statistical techniques, collaborate across teams, and support governance and regulatory requirements.

Lead quantitative model risk reviews for Treasury models used in resolution, recovery, liquidity, stress testing and budgeting. Assess conceptual soundness, design benchmarks and performance metrics, guide model usage, liaise with developers/users/compliance, and evaluate model performance regularly. Provide technical write-ups and escalate material issues.

Support mortgage finance for the Global Private Bank by delivering profitability analysis, forecasting, stress-testing (CCAR) and CECL analytics, translating model outputs into executive insights, supporting model implementation/validation, and driving process improvements and automation across forecasting, credit, and prepayment risk.

Conduct independent model validations and reviews for risk models: evaluate model specification, assumptions, inputs, numerical robustness, and performance metrics; propose enhancements and benchmarking models; liaise with Risk and Finance on model usage, controls, and ongoing testing; maintain model risk controls and keep abreast of industry developments.

Lead model risk reviews for complex credit, interest rate, and equity pricing models. Assess model design, validation, performance metrics, and governance; develop benchmarks; guide model remediation; act as business liaison; and manage and mentor junior team members.

Review and evaluate quantitative finance tasks for technical accuracy and real-world realism. Identify missing assumptions, unrealistic constraints, edge cases, and data or backtesting issues. Provide concise, structured written feedback and actionable recommendations. Collaborate with other experts to calibrate evaluations and maintain consistent quality standards throughout a high-engagement, remote contractor sprint.

The role involves developing pricing and risk analysis tools, working closely with the trading desk, and addressing complex financial inquiries.

The Risk Analyst role requires conducting operational risk, credit risk, market risk analysis, creating models, and developing analytics with a quantitative background.

The Quant will optimize trading strategies, research and test potential alphas, and enhance the production trading system within a collaborative team.

Research, design, and backtest quantitative trading strategies across asset classes and frequencies; develop alpha, risk, and execution models; analyze large market datasets; evaluate DeFi protocols; collaborate with engineers to deploy and monitor live strategies; perform attribution and propose improvements.

Lead design, development, and production deployment of a bond analytics library for fixed income and structured products. Oversee model development, validation, and risk measurement (VaR, sensitivities, stress testing), ensure regulatory compliance, architect scalable quantitative libraries, collaborate with business and regulatory stakeholders, and mentor junior team members.

Support development and maintenance of equity derivatives risk analytics: volatility calibration, option pricing, VaR, scenario and stress testing, sensitivity analysis, methodology enhancement, production issue resolution, and stakeholder documentation.

Join the Equity Derivatives team to develop pricing models, conduct quantitative research, build Python/SQL tools, design and run backtests, support traders on risk and trade analysis, and integrate models with trading and risk infrastructure using statistical and ML techniques.

Senior leader responsible for designing and implementing equity derivatives risk analytics, including volatility calibration, option pricing, VaR, scenario analysis, stress testing, and scalable risk engines. Partners with trading, risk, and quant teams to ensure robust measures, drive methodology innovation, and advise senior stakeholders on exposures and model assumptions.

Responsible for developing custom equity factors, reviewing exposures, creating risk management tools, and providing equity advisory services, with 7+ years of experience.

Perform quantitative analysis and build models/tools to inform equity long/short investment and business decisions. Analyze performance, risk attribution, and portfolio construction; run statistical tests; implement process improvements; apply AI tools to accelerate research; present findings to senior stakeholders and partner with PMs, trading, operations, technology, data, and research teams.

Design, validate, and refine quantitative methodologies for direct indexing, portfolio construction, tax-loss harvesting, and tracking-error minimization. Build backtests, analyze large financial datasets (market, execution, tax lots), improve optimization formulations, and collaborate with engineering and product teams to productionize robust, risk-aware investment models.

The role involves developing models for ETF market making, backtesting trading strategies, and collaborating with the ETF trading desk on data and analytics.

The Senior Quantitative Analyst resolves complex problems in banking, develops and validates quantitative models, and provides support for the Risk and Finance divisions.

Design, test, and deploy systematic trading strategies across digital asset markets. Generate and validate hypotheses, run rigorous backtests, build and maintain live alpha signals and execution models, analyze microstructure and order flow, collaborate with engineers to move research to production, and monitor and iterate on live strategy performance.

Lead quantitative research and development for systematic trading and analytics platforms. Build and maintain trading infrastructure, develop production models and complex client algorithms, optimize execution and transaction costs, and manage a team of quantitative experts while collaborating with product, tech, and trading desks.