Senior Director of Software Engineering - Market Risk

As a Senior Director of Software Engineering at JPMorgan Chase within the Corporate Technology, Market Risk AIML Tech Team, you will lead multiple technical areas and oversee the activities of various departments while fostering collaboration across technical domains. Your cross-functional expertise will be instrumental in promoting the adoption and implementation of advanced technical methods within diverse teams, ensuring the firm remains at the forefront of industry trends, best practices, and technological innovations. This role emphasizes managing and developing the AIML platform within Market Risk, working closely with Product and the tech team to define the roadmap and implement top-tier AIML and Generative AI practices across Risk Technology.

Job responsibilities

• Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
• Directly manages multiple areas with strategic transactional focus
• Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
• Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
• Manages multiple stakeholders, complex projects, and large cross-product collaborations
• Influences peer leaders and senior stakeholders across the business, product, and technology teams
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Software Engineering concepts and expert applied experience. In addition, expert experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Experience developing or leading large or cross-functional teams of technologists
• Exposure to ML engineering and experience with Generative AI (GenAI), RAG, building agents or at least an understanding of
• Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
• Experience leading complex projects supporting system design, testing, and operational stability
• Experience with hiring, developing, and recognizing talent
• Extensive practical cloud native experience
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Experience working at code level and understanding architecture and infrastructure
• Experience overseeing a team of engineers bringing up AIML platforms
• Experience with DataBricks
• AWS qualifications