Commercial & Investment Bank - Automated Trading Strategies AI\ML Researcher - Associate

Location: LONDON, LONDON, United Kingdom

Job Family: Algo Trading

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. Our Commercial & Investment Bank division drives innovation in automated trading, leveraging cutting-edge technology to deliver superior market solutions. We are seeking an AI/ML Researcher - Associate to join our Automated Trading Strategies team in London, where you will play a pivotal role in developing intelligent systems that power algorithmic trading across global markets. This position offers the chance to work on high-impact projects at the intersection of AI, machine learning, and quantitative finance, contributing to strategies that handle billions in daily trading volume. As an AI/ML Researcher, you will dive deep into research and implementation of advanced models to optimize trading execution, predict market movements, and automate decision-making processes. You will collaborate with world-class quants, traders, and engineers in a dynamic environment that emphasizes innovation and risk management. Responsibilities include prototyping ML algorithms, analyzing vast financial datasets for actionable insights, and ensuring models are robust for live deployment in our low-latency trading infrastructure. This role demands a blend of theoretical expertise and practical application, with opportunities to influence JP Morgan's competitive edge in automated trading. In this associate-level position, you will benefit from mentorship by senior researchers and access to JP Morgan's extensive resources, including proprietary data feeds and high-performance computing clusters. We value diverse perspectives and foster a culture of continuous learning, with regular hackathons, training sessions, and exposure to regulatory frameworks like MiFID II. If you are passionate about applying AI/ML to solve real-world financial challenges, this role at JP Morgan Chase provides a platform to advance your career while contributing to groundbreaking advancements in the industry.

Key Responsibilities

• Develop and research advanced AI/ML models to enhance automated trading strategies for equities, fixed income, and derivatives
• Analyze large-scale financial datasets to identify patterns and opportunities for algorithmic improvements
• Collaborate with quantitative traders, data scientists, and engineers to integrate ML models into live trading systems
• Conduct experiments and backtesting of trading strategies using historical and real-time market data
• Optimize ML algorithms for low-latency, high-throughput environments in the Commercial & Investment Bank
• Stay abreast of cutting-edge AI/ML research and apply relevant advancements to trading innovations
• Contribute to the design and implementation of scalable ML pipelines for automated decision-making
• Assess and mitigate risks associated with AI-driven trading models, ensuring compliance with regulatory standards
• Present research findings and strategy recommendations to senior stakeholders and trading teams

Required Qualifications

• Master's or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field
• 3+ years of experience in AI/ML research or development, preferably in financial services or high-frequency trading environments
• Proficiency in Python, R, or similar programming languages for ML model implementation
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques
• Experience with data analysis and statistical modeling in large-scale datasets
• Knowledge of financial markets, trading strategies, or algorithmic trading principles
• Ability to work collaboratively in a fast-paced, cross-functional team environment

Preferred Qualifications

• PhD in AI/ML or a related field with publications in top conferences like NeurIPS, ICML, or KDD
• Prior experience in automated trading systems or quantitative finance at a major bank or hedge fund
• Familiarity with cloud computing platforms such as AWS, GCP, or Azure for ML deployments
• Experience with deep learning frameworks like TensorFlow or PyTorch in production environments
• Domain knowledge in risk management, market microstructure, or execution algorithms

Required Skills

• Machine Learning and AI algorithm development
• Python programming for data science and ML
• Statistical analysis and modeling
• Financial market knowledge and trading concepts
• Deep learning frameworks (TensorFlow, PyTorch)
• Big data technologies (Hadoop, Spark)
• Time-series data analysis
• Reinforcement learning for decision systems
• Problem-solving and critical thinking
• Team collaboration and communication
• Low-latency system optimization
• Risk assessment in quantitative models
• Version control with Git
• Cloud-based ML deployment
• Attention to detail in high-stakes environments

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance coverage
• Generous 401(k) matching and pension contributions
• Paid time off including vacation, sick days, 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 within JP Morgan Chase's international network

JP Morgan Chase is an equal opportunity employer.