Global Credit Trading - Automated Trading Strategies - Associate

Location: LONDON, LONDON, United Kingdom

Job Family: Algo Trading

About the Role

Join JPMorgan Chase & Co., a leading global financial services firm with over $3.7 trillion in assets and a commitment to innovation in trading and risk management. The Global Credit Trading team in London is seeking an Associate for its Automated Trading Strategies (ATS) group. This role offers a unique opportunity to contribute to the development of cutting-edge systematic alpha strategies in the credit markets, focusing on automated positioning and execution. As part of a dynamic team within one of the world's largest investment banks, you will leverage advanced quantitative techniques to drive alpha generation in corporate bonds, credit default swaps, and related derivatives, while ensuring robust risk controls and regulatory compliance. In this position, you will collaborate with elite quants, traders, and technologists to design, test, and deploy algorithmic models that capitalize on market inefficiencies in global credit spaces. Your work will involve rigorous backtesting, real-time monitoring, and iterative improvements to trading strategies, utilizing JP Morgan's state-of-the-art infrastructure. You will analyze vast datasets to uncover systematic opportunities, incorporate machine learning for predictive modeling, and integrate strategies with the firm's broader fixed income portfolio. This role demands a blend of technical expertise and market intuition, providing exposure to high-impact projects that influence billions in trading volume. JPMorgan Chase values diversity, innovation, and professional growth, offering a supportive environment where your contributions can shape the future of automated trading. Ideal candidates thrive in a collaborative, fast-paced setting and are passionate about quantitative finance. This position not only advances your career in algo trading but also positions you at the forefront of financial technology advancements within a firm renowned for its leadership in global markets.

Key Responsibilities

• Develop and optimize automated trading strategies focused on credit systematic alpha and market positioning
• Collaborate with traders, quants, and engineers to design, backtest, and deploy algorithmic models for credit products
• Analyze market data to identify alpha-generating opportunities in global credit markets
• Implement risk management protocols within automated systems to ensure compliance and minimize exposure
• Monitor and refine live trading strategies, incorporating real-time feedback and performance metrics
• Conduct research on new systematic approaches, leveraging machine learning and statistical models
• Work closely with cross-functional teams in London to integrate strategies with broader portfolio objectives
• Contribute to the enhancement of JP Morgan's trading infrastructure for high-performance execution
• Document strategy performance and provide insights to senior management for strategic decision-making
• Stay abreast of market trends, regulatory changes, and technological advancements in algo trading

Required Qualifications

• Bachelor's degree in Finance, Computer Science, Mathematics, Engineering, or a related quantitative field
• Minimum of 3-5 years of experience in quantitative trading, algorithmic development, or systematic strategies within financial markets
• Strong programming proficiency in Python, C++, or Java, with experience in high-frequency trading systems
• Deep understanding of credit markets, including corporate bonds, CDS, and fixed income derivatives
• Proven track record in developing and deploying automated trading models in a live trading environment
• Knowledge of regulatory requirements in global financial markets, such as MiFID II and Dodd-Frank
• Excellent analytical skills with the ability to handle large datasets and perform statistical analysis

Preferred Qualifications

• Master's degree or PhD in a quantitative discipline, such as Quantitative Finance or Data Science
• Experience working in a credit trading desk or systematic alpha team at a major investment bank
• Familiarity with machine learning techniques applied to financial time series data
• Prior exposure to JP Morgan's trading platforms or similar proprietary systems
• Certifications such as CFA, FRM, or CQF

Required Skills

• Proficiency in Python for algorithmic development and data analysis
• Expertise in C++ for low-latency trading systems
• Strong quantitative modeling using statistical and econometric techniques
• Knowledge of credit derivatives pricing and risk metrics (e.g., DV01, CS01)
• Experience with big data tools like Hadoop, Spark, or SQL databases
• Machine learning frameworks such as TensorFlow or scikit-learn
• Analytical problem-solving and critical thinking
• Attention to detail in high-stakes financial environments
• Effective communication for collaborating with diverse teams
• Adaptability to fast-paced, dynamic market conditions
• Understanding of electronic trading platforms and APIs
• Risk assessment and mitigation skills
• Time management and prioritization in deadline-driven projects
• Team collaboration and leadership in cross-functional settings
• Continuous learning mindset for evolving financial technologies

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 within JP Morgan Chase's network

JP Morgan Chase is an equal opportunity employer.