Lead Software Engineer- Data Analytics

Location: Jersey City, NJ, United States

Job Family: Software Engineering

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, powering the world's leading financial services with cutting-edge technology. As a Lead Software Engineer in Data Analytics, you will play a pivotal role in our agile teams, developing and implementing critical tech solutions that span multiple technical domains. Based in our state-of-the-art Jersey City, NJ office, you will lead efforts to harness vast datasets from global markets, enabling data-driven decisions in investment banking, asset management, and risk mitigation. This position demands a blend of technical expertise and strategic thinking to deliver scalable analytics platforms that comply with rigorous financial regulations and drive business growth. Your day-to-day will involve architecting robust data pipelines using technologies like Spark and Kafka to process real-time transaction data, integrating AI models for fraud detection and market forecasting. You will collaborate closely with cross-functional teams, including data scientists, traders, and compliance experts, to translate complex business needs into high-impact software solutions. As a leader, you will mentor engineers, foster a culture of innovation, and ensure our systems maintain unparalleled reliability and security in a high-stakes environment. Opportunities abound to contribute to transformative projects, such as cloud migrations and advanced analytics for sustainable finance initiatives. Joining JP Morgan Chase means becoming part of a global community committed to excellence and inclusion. We offer unparalleled resources for professional growth, from leadership development programs to exposure to emerging fintech trends. If you thrive in dynamic settings and are passionate about leveraging data to shape the future of finance, this role provides the platform to make a lasting impact while advancing your career in one of the most prestigious institutions in the industry.

Key Responsibilities

• Design, develop, and deploy critical data analytics solutions to support JP Morgan Chase's global financial operations
• Lead an agile team of engineers in building scalable data pipelines for real-time analytics and reporting
• Collaborate with stakeholders across investment banking, asset management, and risk teams to define technical requirements
• Implement and optimize big data technologies to handle petabyte-scale datasets from trading and transaction systems
• Ensure solutions adhere to stringent security and compliance standards in the financial industry
• Mentor junior engineers and drive best practices in code quality, testing, and DevOps
• Analyze complex financial datasets to derive insights that inform business decisions and mitigate risks
• Integrate machine learning models into analytics platforms for predictive forecasting in market trends
• Monitor and troubleshoot production systems to maintain high availability and performance
• Contribute to innovation initiatives, such as adopting cloud-native architectures for cost-efficient data processing

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
• 7+ years of experience in software engineering with a focus on data analytics and big data technologies
• Proven track record of leading agile teams in delivering scalable tech solutions in the financial services sector
• Strong proficiency in programming languages such as Java, Python, or Scala
• Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in data-intensive environments
• Deep knowledge of data analytics tools and frameworks, including SQL, Spark, and Hadoop
• Familiarity with regulatory compliance standards in finance, such as GDPR, SOX, and Basel III

Preferred Qualifications

• Advanced certifications in data engineering (e.g., AWS Certified Data Analytics or Google Professional Data Engineer)
• Experience in machine learning and AI applications for financial risk modeling and fraud detection
• Prior work at a major financial institution, with exposure to high-stakes trading or investment banking systems
• Leadership experience in cross-functional teams, including collaboration with data scientists and business analysts
• Publication or contributions to open-source projects in data analytics or fintech

Required Skills

• Expertise in Java, Python, and Scala for backend development
• Proficiency in big data frameworks like Apache Spark, Hadoop, and Kafka
• Strong SQL and NoSQL database skills (e.g., PostgreSQL, MongoDB)
• Experience with cloud computing platforms (AWS, Azure) and containerization (Docker, Kubernetes)
• Knowledge of ETL processes and data warehousing solutions (e.g., Snowflake, Redshift)
• Machine learning libraries (e.g., TensorFlow, scikit-learn) for analytics applications
• Agile methodologies and tools like Jira, Confluence, and Git
• Financial domain knowledge, including risk analytics and regulatory reporting
• Problem-solving and analytical thinking for complex data challenges
• Leadership and communication skills for team collaboration
• Attention to detail in ensuring data accuracy and security
• Adaptability to fast-paced environments in fintech
• Version control and CI/CD pipeline management
• Statistical analysis and data visualization (e.g., Tableau, Power BI)

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick leave, and parental leave
• Professional development opportunities, such as tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements, including hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.