Global Commodities - Automated Trading Strategies - Analyst/Associate

Location: New York, NY, United States

Job Family: Associates

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide. In the Global Commodities group, we drive innovation in trading through cutting-edge automated strategies that capitalize on market opportunities in energy, metals, agriculture, and more. As an Analyst or Associate in Automated Trading Strategies, you will join a dynamic team in New York, NY, where you'll leverage technology and quantitative expertise to build and optimize algorithms that enhance trading efficiency and profitability. This role is pivotal in supporting our clients—from producers and consumers to investors—by delivering sophisticated, data-driven solutions in one of the most volatile and complex asset classes. In this position, you will contribute to the end-to-end lifecycle of automated trading systems, from ideation and development to deployment and ongoing refinement. Working closely with experienced traders, quantitative researchers, and software engineers, you'll analyze vast datasets to identify trading signals, implement low-latency execution models, and mitigate risks using advanced statistical techniques. At JPMorgan Chase, you'll have access to state-of-the-art infrastructure, including high-performance computing and real-time market data feeds, enabling you to push the boundaries of what's possible in commodities trading. Your work will directly impact our ability to navigate global market dynamics, such as supply chain disruptions or geopolitical events, ensuring resilient and scalable strategies. We seek self-motivated individuals passionate about the intersection of finance and technology. This role offers unparalleled exposure to JPMorgan Chase's vast resources, including mentorship from industry leaders and opportunities for career growth across our Markets division. If you thrive in a collaborative yet competitive environment and are eager to innovate in automated trading, join us to shape the future of commodities at one of the world's most respected financial institutions.

Key Responsibilities

• Develop and implement automated trading strategies for global commodities markets, focusing on algorithmic execution and optimization
• Analyze market data, historical trends, and real-time signals to refine trading models and reduce execution costs
• Collaborate with traders, quants, and technology teams to integrate strategies into JPMorgan Chase's trading platforms
• Backtest and simulate trading algorithms using historical and synthetic data to ensure robustness and profitability
• Monitor live trading performance, identify anomalies, and perform post-trade analysis to improve strategy efficacy
• Contribute to risk management by incorporating volatility models and stress testing into automated systems
• Stay abreast of market developments, regulatory changes, and technological advancements in commodities trading
• Support the deployment of machine learning-based enhancements to existing automated trading frameworks
• Document strategies, processes, and performance metrics for internal audits and compliance purposes

Required Qualifications

• Bachelor's degree in Computer Science, Mathematics, Engineering, Finance, or a related quantitative field
• 1-3 years of experience in quantitative analysis, algorithmic trading, or financial modeling for Analyst level; 3-5 years for Associate level
• Proficiency in programming languages such as Python, C++, or Java for developing automated trading systems
• Strong understanding of commodities markets, including energy, metals, and agriculture sectors
• Experience with data analysis tools and statistical methods in a trading environment
• Ability to work in a fast-paced, high-stakes financial services setting at a global institution like JPMorgan Chase

Preferred Qualifications

• Master's degree or PhD in a quantitative discipline
• Prior experience in automated trading strategies within commodities at a major investment bank
• Familiarity with machine learning techniques for predictive modeling in financial markets
• Knowledge of regulatory frameworks such as Dodd-Frank or MiFID II impacting commodities trading

Required Skills

• Programming in Python, C++, or Java
• Quantitative analysis and statistical modeling
• Algorithmic trading and execution strategies
• Data analysis with tools like Pandas, NumPy, or SQL
• Machine learning frameworks such as TensorFlow or Scikit-learn
• Commodities market knowledge (energy, metals, agriculture)
• Risk assessment and volatility modeling
• Backtesting and simulation techniques
• Problem-solving in high-pressure environments
• Collaboration and communication with cross-functional teams
• Attention to detail in code and model validation
• Adaptability to fast-evolving market conditions
• Financial modeling and forecasting
• Regulatory compliance awareness in trading
• Time management for deadline-driven projects

Benefits

• Competitive base salary and performance-based bonuses aligned with JPMorgan Chase's compensation structure
• Comprehensive health, dental, and vision insurance plans with employer contributions
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities through JPMorgan Chase's internal training programs and tuition reimbursement
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers, wellness programs, and mental health support services
• Global mobility opportunities within JPMorgan Chase's international network

JP Morgan Chase is an equal opportunity employer.