Senior Lead Software Engineer - Data Engineer - Credit Technology

Location: LONDON, LONDON, United Kingdom

Job Family: Software Engineering

About the Role

As a Senior Lead Software Engineer - Data Engineer in Credit Technology at JP Morgan Chase, you will play a pivotal role in driving innovation for our global Credit Trading business. Based in London, you will lead the development of cutting-edge data solutions that empower traders and risk managers with real-time insights, enabling smarter decision-making in one of the world's largest investment banks. This position demands a technical visionary who can architect scalable data platforms while navigating the complexities of financial regulations and high-stakes trading environments. You will collaborate with elite teams across quant research, trading desks, and compliance to transform raw financial data into actionable intelligence, contributing to JP Morgan's leadership in credit markets. Your responsibilities will include spearheading the design of robust ETL pipelines and data lakes using technologies like Spark and Kafka, ensuring seamless integration with JP Morgan's proprietary trading systems. You will mentor a team of engineers, fostering best practices in data governance and quality to mitigate risks in credit portfolios. By leveraging cloud-native architectures on AWS or Azure, you will optimize for performance and scalability, handling petabyte-scale datasets from global markets. This role offers the opportunity to innovate in areas like AI-driven risk modeling and real-time analytics, directly impacting billions in trading volume. At JP Morgan Chase, we value technical excellence and business acumen, providing a dynamic environment where your expertise can thrive. Join us to advance your career in a firm renowned for its technological prowess in finance, with access to world-class resources and a commitment to sustainable growth in credit technology.

Key Responsibilities

• Lead the design and development of advanced data pipelines to support credit trading strategies and risk management
• Collaborate with traders, quants, and stakeholders to deliver innovative data solutions that drive business insights
• Architect scalable data infrastructure using cloud technologies to handle high-volume financial datasets
• Mentor and guide junior engineers, fostering a culture of technical excellence and innovation at JP Morgan Chase
• Implement data governance and quality controls to ensure compliance with financial regulations
• Optimize data workflows for real-time analytics in credit technology, reducing latency in trading decisions
• Integrate machine learning models into data platforms to enhance predictive capabilities for credit risk
• Conduct code reviews, performance tuning, and troubleshooting of complex data systems
• Stay abreast of emerging technologies and contribute to JP Morgan's data engineering best practices

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 8+ years of experience in software engineering with a focus on data engineering in financial services
• Proven track record in designing and implementing scalable data pipelines and ETL processes
• Strong experience with big data technologies such as Hadoop, Spark, or Kafka in a trading environment
• Deep knowledge of database systems including SQL, NoSQL, and cloud-based solutions like AWS or Azure
• Experience leading cross-functional teams in agile environments within high-stakes financial settings
• Familiarity with regulatory compliance standards such as GDPR, MiFID II, and data security in credit trading

Preferred Qualifications

• Master's degree in Data Science or related field
• Prior experience at a major financial institution like JP Morgan Chase in credit technology
• Certifications in cloud platforms (e.g., AWS Certified Data Analytics) or financial data modeling
• Hands-on experience with machine learning for risk assessment in credit trading
• Background in real-time data processing for global trading systems

Required Skills

• Proficiency in Python, Java, or Scala for data processing and ETL development
• Expertise in Apache Spark, Hadoop, and Kafka for big data handling
• Strong SQL and NoSQL database querying and optimization skills
• Experience with cloud platforms like AWS, GCP, or Azure for data storage and compute
• Knowledge of data modeling, warehousing, and BI tools such as Tableau or Power BI
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
• Understanding of financial concepts like credit risk, derivatives, and trading algorithms
• Excellent problem-solving and analytical skills in high-pressure environments
• Strong communication and leadership abilities for cross-team collaboration
• Agile methodologies and version control with Git
• Data security and encryption practices compliant with financial regulations
• Machine learning frameworks like TensorFlow or PyTorch for data-driven insights
• Performance tuning for low-latency systems in trading applications

Benefits

• Competitive base salary and performance-based bonuses aligned with financial industry standards
• Comprehensive health, dental, and vision insurance coverage for employees and families
• Generous retirement savings plan with company matching contributions
• Paid time off including vacation, sick leave, and parental leave policies
• Professional development opportunities through JP Morgan's internal training and tuition reimbursement
• Employee wellness programs, including gym memberships and mental health support
• Flexible work arrangements with hybrid options in London
• Global mobility and career advancement paths within JP Morgan Chase

JP Morgan Chase is an equal opportunity employer.