2026 - Quantitative Finance Analyst & Associate Program - London

At JPMorganChase, we champion your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you are passionate, curious and ready to make an impact, we are looking for you.

Job Summary

As a Quantitative Finance Analyst & Associate in the Quantitative Finance Program, you will work alongside top-tier professionals in a dynamic environment. You'll apply academic knowledge to real-world financial challenges, gain hands-on experience, and build a valuable network. This program sets a solid foundation for your career, with potential full-time offers upon successful completion. Our Off-Cycle Program starts in Spring, Summer, or Autumn, based on your academic schedule. The 9-week summer internship, available only to the Asset Management team, runs from June to August.

• Candidates will be eligible for Analyst or Associate programs based on their academic experience:
  • Candidates enrolled in a PhD program will be eligible for Associate level positions.
  • Candidates enrolled in a Bachelor's or Master's program will be eligible for Analyst level positions.
• Candidates eligible for Associate programs are expected to demonstrate advanced proficiency in any programming language.

• Analyze data to identify patterns, revenue opportunities, and market trends.
• Conduct back testing and assess risk management strategies.
• Maintain and improve software systems and tools for trading operations.
• Assess models for conceptual soundness, risks, and enhancements.
• Propose creative solutions to complex challenges.
• Collaborate with internal teams to advance trading services.
• Focus on model development and review of conceptual design.
• Develop, validate, and enhance mathematical models and algorithms.
• Optimize financial solutions across asset classes and instruments.

• Enrolled in a Bachelor's, Master's, or PhD program in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between January 2025 and August 2027.
• Proficiency in Python, C++, or Java.
• Strong analytical, quantitative, and problem-solving skills.
• Excellent communication skills for presenting complex concepts.
• Interest in banking analytics, global markets, and quantitative research.
• Ability to thrive in a fast-paced, collaborative environment.

• Experience with R, MATLAB, or SQL.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of banking products, financial instruments, and market dynamics.
• Strong organizational skills for managing multiple projects.
• Ability to articulate complex quantitative concepts to diverse audiences.
• Strong proficiency in financial modeling and data analysis - including probability theory, stochastic processes, statistics, partial differential equations, numerical analysis and econometrics.
• Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives).

• London

• Role: Develop sophisticated financial solutions across asset classes to help clients manage risk, increase returns, and solve complex financial problems. Engage in quantitative modeling, data analytics, statistical modeling, and portfolio management.

• Team Tasks: Collaborate with quants, technologists, traders, marketers, and risk managers to enhance models and algorithms. Calibrate parameters for market evolution models, optimize pricing, manage portfolio risks, and develop statistical arbitrage strategies. Maintain mathematical models and methodologies for valuing and hedging financial transactions, and improve algorithmic trading strategies.

• Role: The Model Risk Governance and Review team are responsible for end-to-end model risk management across the firm. You will help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. While working closely with model developers and users, you will also have an opportunity for exposure to a wide variety of businesses and functional areas.

• Team Tasks: Perform model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products. Provide guidance on model usage and act as first point of contact for the business on all new models and changes to existing models. Develop and implement alternative model benchmarks and compare the outcome of various models; Design model performance metrics. Liaise with model developers, Risk and Valuation Control Groups and provide guidance on model risk. Evaluate model performance on a regular basis.

• Role: Deliver excellence at the intersection of data science, algorithms, and financial markets by developing systematic trading solutions. Engage in designing trading and execution strategies, analyzing data patterns, and improving trading software systems.

• Team Tasks: Collaborate with internal parties to understand client needs and advance electronic trading services. Conduct back testing, assess pricing, risk management, and execution strategies. Expand the library of modeling, analytics, and automation tools. Resolve day-to-day markets trading issues and review trading performance.

• Role: Apply cutting-edge quantitative investment and data science techniques across a broad range of applications and data types. Create solutions for corporate, government, not-for-profit, and individual clients worldwide. Work in product teams including equities, fixed income, multi-asset solutions, real assets, hedge funds, and private equity. Projects can include developing innovative asset return prediction strategies; now-casting economic conditions; and estimating risk sensitivities.

• Team Tasks: Collaborate with investors, client portfolio managers, traders, research analysts, marketers, and client advisors to develop and implement investment strategies. Engage in assignments that directly impact clients, helping them achieve their business goals. Network with industry leaders and access best-in-class training to sharpen technical skills and finance principles.