Global Commodities - Automated Trading Strategies - Analyst or Associate

Location: LONDON, LONDON, United Kingdom

Job Family: Associates

About the Role

At J.P. Morgan Chase, we are a leading global financial services firm with a proud history of innovation and client-focused solutions. In our Global Markets division, the Automated Trading Strategies (ATS) team drives cutting-edge technology to enhance trading efficiency across asset classes. As an Analyst or Associate in Global Commodities - Automated Trading Strategies, you will join a dynamic front-office team in London, playing a pivotal role in developing sophisticated algorithms that capitalize on opportunities in energy, metals, agriculture, and other commodities markets. This position offers exposure to high-impact projects at the intersection of quantitative finance, technology, and global trading, contributing to J.P. Morgan's position as a market leader in commodities. Your primary focus will be on designing, testing, and deploying automated trading strategies that optimize execution, manage risk, and leverage real-time market data. You will collaborate closely with traders, quantitative researchers, and engineers to analyze volatility, liquidity, and geopolitical factors influencing commodities prices. Responsibilities include backtesting models, integrating alternative data sources, and ensuring strategies align with J.P. Morgan's rigorous risk frameworks and regulatory standards like EMIR and Dodd-Frank. This role demands a blend of technical expertise and market intuition to deliver alpha-generating solutions in a competitive landscape. We seek talented individuals who thrive in a collaborative, high-pressure environment and are passionate about innovation in financial services. At J.P. Morgan, you will have access to world-class resources, mentorship from industry experts, and opportunities for career growth within our global network. This position not only challenges you to push the boundaries of automated trading but also positions you to make a meaningful impact on one of the world's most influential financial institutions, fostering long-term success in the evolving commodities sector.

Key Responsibilities

• Develop and optimize automated trading strategies for global commodities markets, focusing on algorithmic execution and risk management
• Analyze market data, volatility patterns, and macroeconomic factors to refine trading models
• Collaborate with traders, quants, and technology teams to implement and backtest strategies
• Monitor and enhance trading algorithms to ensure compliance with internal policies and regulations
• Perform quantitative research on commodities pricing, supply-demand dynamics, and hedging opportunities
• Contribute to the automation of trade execution processes to improve efficiency and reduce latency
• Support portfolio risk assessment and stress testing for commodities positions
• Stay abreast of market developments and integrate new data sources into trading frameworks
• Document strategies and provide insights to senior management for strategic decision-making
• Participate in cross-functional projects to innovate trading tools within J.P. Morgan's Global Markets division

Required Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a related quantitative field
• 2-5 years of experience in quantitative trading, algorithmic development, or financial markets analysis
• Strong programming proficiency in Python, C++, or Java for developing automated trading systems
• Deep understanding of commodities markets, including energy, metals, and agriculture sectors
• Experience with data analysis tools and statistical modeling in a trading environment
• Familiarity with regulatory requirements in global financial markets, such as MiFID II
• Ability to work in a fast-paced, high-stakes front-office environment at a leading investment bank

Preferred Qualifications

• Master's degree or PhD in a quantitative discipline
• Prior experience at a bulge-bracket bank or hedge fund in commodities trading
• Knowledge of machine learning techniques applied to trading strategies
• CFA or FRM certification
• Experience with real-time data feeds and execution platforms like Bloomberg or Refinitiv

Required Skills

• Quantitative analysis and statistical modeling
• Programming in Python, C++, or similar languages
• Knowledge of commodities derivatives and futures markets
• Data visualization and analysis using tools like Tableau or MATLAB
• Algorithmic trading and high-frequency strategy development
• Risk management and portfolio optimization techniques
• Financial modeling and econometric forecasting
• Problem-solving in dynamic, real-time environments
• Strong communication and collaboration skills
• Attention to detail and analytical thinking
• Adaptability to market volatility and regulatory changes
• Machine learning basics for predictive modeling
• Excel proficiency for financial data handling
• Understanding of electronic trading platforms
• Team-oriented mindset with leadership potential

Benefits

• Competitive base salary and performance-based bonus structure
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension contributions
• Paid time off, including vacation, sick leave, and parental leave
• Professional development programs and tuition reimbursement for advanced certifications
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Global mobility opportunities and relocation assistance for international roles

JP Morgan Chase is an equal opportunity employer.