Sr Director of Software Engineering - Head of Spread Products PreTrade & Agentic AI

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, and our Securitized Product Technology team is pivotal in powering the firm's leadership in capital markets. As the Senior Director of Software Engineering - Head of Spread Products PreTrade & Agentic AI, you will lead a dynamic team responsible for developing cutting-edge pre-trade risk management and AI-enhanced trading solutions for spread products such as mortgage-backed securities (MBS) and asset-backed securities (ABS). Based in Jersey City, NJ, this role offers the opportunity to shape the future of automated trading within one of the world's largest investment banks, ensuring our platforms deliver real-time insights and efficiency in a highly regulated environment. Your leadership will focus on architecting scalable systems that integrate agentic AI to automate complex decision-making processes, reducing latency and enhancing accuracy in pre-trade analytics. You will collaborate closely with traders, quantitative analysts, and compliance teams to align technology with business needs, driving initiatives that support JP Morgan Chase's global trading operations. This position demands a strategic mindset to navigate the intricacies of financial regulations like Dodd-Frank and MiFID II, while fostering a culture of innovation and excellence within your engineering team. Joining JP Morgan Chase means contributing to a firm renowned for its commitment to technology-driven solutions in finance. In this role, you will mentor top talent, oversee the adoption of advanced technologies like machine learning and cloud-native architectures, and deliver measurable impact on the firm's profitability and market position. If you are a visionary leader passionate about AI's role in transforming financial services, this is your chance to lead transformative projects at the intersection of software engineering and high-stakes trading.

Key Responsibilities

• Lead the development and implementation of pre-trade risk and pricing systems for spread products within JP Morgan Chase's Securitized Product Technology team
• Oversee the integration of agentic AI technologies to enhance automated trading strategies and decision support in capital markets
• Manage a team of software engineers, fostering innovation while ensuring compliance with financial industry standards
• Collaborate with cross-functional teams including traders, quants, and compliance to define technology roadmaps
• Drive the adoption of modern technologies like machine learning and cloud computing to optimize platform performance
• Identify and mitigate technical risks in high-volume trading environments
• Mentor and develop engineering talent, promoting a culture of continuous learning at JP Morgan Chase
• Monitor and report on key performance metrics for technology initiatives in securitized products
• Partner with senior stakeholders to align technology solutions with business objectives in global markets

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred
• 10+ years of experience in software engineering leadership roles within financial services
• Proven track record of leading large-scale technology teams in capital markets or securitized products
• Deep expertise in pre-trade risk management systems and AI-driven trading solutions
• Experience with agile methodologies and delivering high-impact projects in a regulated environment
• Strong understanding of financial regulations such as Dodd-Frank, MiFID II, and SEC rules

Preferred Qualifications

• Advanced degree in AI, Machine Learning, or Data Science
• Prior experience at a major investment bank like JP Morgan Chase or similar
• Knowledge of spread products including MBS, ABS, and derivatives
• Certification in cloud platforms such as AWS or Azure
• Background in agentic AI applications for automated trading and decision-making

Required Skills

• Expertise in Java, Python, or C++ for financial software development
• Proficiency in AI/ML frameworks such as TensorFlow or PyTorch
• Strong knowledge of cloud computing (AWS, GCP) and microservices architecture
• Experience with real-time data processing and low-latency systems
• Understanding of financial instruments like securitized products and derivatives
• Leadership and team management in fast-paced environments
• Agile and DevOps practices, including CI/CD pipelines
• Data analytics and big data technologies (Hadoop, Spark)
• Risk modeling and quantitative analysis skills
• Excellent communication and stakeholder management
• Problem-solving in complex, regulated financial settings
• Familiarity with cybersecurity best practices in banking
• Project management tools like Jira or Confluence
• Adaptability to evolving market regulations

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with company matching contributions
• Generous paid time off, including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced education
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at JP Morgan Chase locations
• Flexible work arrangements, including hybrid options in Jersey City, NJ

JP Morgan Chase is an equal opportunity employer.