Lead Software Engineering - Python - Front Office Quant Developer

Location: LONDON, LONDON, United Kingdom

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of redefining the future of financial services through cutting-edge technology and innovation. As a Lead Software Engineering - Python - Front Office Quant Developer in our London office, you will play a pivotal role in our Corporate & Investment Bank division, driving the development of sophisticated trading and investment solutions. This position offers the opportunity to work in a dynamic, collaborative team environment where your expertise in Python and quantitative finance will directly impact high-stakes trading strategies and client outcomes. You will leverage your technical prowess to build robust, scalable applications that support real-time decision-making in global markets. Your responsibilities will span the full software development lifecycle, from requirements gathering with traders and quants to deploying production-ready code. You will lead initiatives to enhance algorithmic trading systems, integrate with JP Morgan's proprietary data platforms, and optimize performance for low-latency environments. Collaboration is key; you will partner with cross-functional teams including risk managers, data scientists, and compliance experts to ensure solutions are innovative, secure, and compliant with regulations like MiFID II. This role demands a deep understanding of financial markets, where precision and speed are paramount, allowing you to contribute to groundbreaking projects that shape the firm's competitive edge. We value engineers who thrive in ambiguity and are passionate about quantitative challenges. In this leadership position, you will mentor team members, foster a culture of continuous improvement, and explore emerging technologies such as AI-driven predictive modeling for investment strategies. Joining JP Morgan Chase means access to world-class resources, a global network, and the chance to advance your career in one of the most influential financial institutions. If you are ready to drive impactful change in front office development, apply today to be part of our mission to power the progress of finance.

Key Responsibilities

• Lead the design, development, and deployment of Python-based applications for front office trading and investment solutions
• Collaborate with quantitative analysts, traders, and stakeholders to translate business requirements into technical implementations
• Develop and optimize quantitative models for pricing, risk management, and algorithmic trading
• Mentor junior developers and contribute to code reviews to ensure high-quality, maintainable codebases
• Integrate systems with JP Morgan's core trading platforms and data infrastructure
• Troubleshoot and resolve complex issues in production trading environments
• Drive innovation by exploring emerging technologies like machine learning for quantitative finance
• Ensure compliance with internal security standards and financial regulations
• Participate in agile sprints, stand-ups, and retrospectives to deliver iterative improvements

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field
• Minimum of 5+ years of professional software development experience, with a focus on Python
• Proven experience in front office quantitative development within financial services
• Strong understanding of financial markets, trading systems, and quantitative modeling
• Experience with agile methodologies and collaborative development environments
• Ability to obtain necessary regulatory clearances for working in a financial institution

Preferred Qualifications

• Master's or PhD in a quantitative discipline such as Finance, Physics, or Statistics
• Prior experience at a major investment bank or trading firm like JP Morgan Chase
• Familiarity with low-latency trading systems and real-time data processing
• Knowledge of regulatory compliance in trading environments (e.g., MiFID II, Dodd-Frank)

Required Skills

• Expertise in Python programming and object-oriented design
• Proficiency in quantitative libraries such as NumPy, Pandas, SciPy, and QuantLib
• Experience with data processing frameworks like Apache Spark or Dask
• Knowledge of financial instruments, derivatives, and market data feeds
• Strong problem-solving and analytical skills for complex quantitative challenges
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines
• Understanding of database technologies (SQL/NoSQL) and real-time data streaming (e.g., Kafka)
• Excellent communication skills for cross-functional collaboration
• Experience with unit testing, debugging, and performance optimization
• Adaptability in a fast-paced, high-stakes trading environment
• Basic knowledge of machine learning techniques for financial applications
• Proficiency in Linux/Unix environments and cloud platforms (e.g., AWS)
• Attention to detail for ensuring accuracy in trading algorithms

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• Generous retirement savings plan with company matching contributions
• Paid time off including vacation, sick leave, and parental leave
• Professional development opportunities through JP Morgan's learning programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at London offices
• Global mobility support for career advancement within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.