Come join the Firmwide Technology Resiliency group that is part of the JPMorgan Chase Cybersecurity & Technology Controls organization.

The group is tasked with ensuring the firm's technology estate can maintain effective operations and support the ongoing, critical functioning of Essential Business Services in the face of today's evolving threat landscape.

As a Senior Director of Software Engineering at JPMorgan Chase within the Cybersecurity and Tech Controls team, you will leverage your expertise in designing and developing sophisticated modelling software to enhance cyber and business resiliency efforts. Collaborating closely with a quantitative data scientist, you will lead the creation of a Bayesian inference-based modelling platform aimed at forecasting the risk and business consequences of potential disruptive events. This role is crucial in guiding strategic decisions related to cyber defense, business continuity, regulatory compliance, and operational resilience.

Job Responsibilities

• Lead multiple technology and process implementations across departments to achieve firmwide technology objectives.
• Provide leadership and high-level direction to teams, overseeing employee populations across multiple platforms, divisions, and lines of business.
• Act as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives.
• Design and develop scalable, production-grade software for risk modelling, inference engines, and simulation frameworks.
• Collaborate with cybersecurity teams, risk analysts, data scientists, and resiliency stakeholders to define model inputs, risk scenarios, and system architecture requirements.
• Translate mathematical and statistical models (e.g., Bayesian networks, probabilistic graphical models) into performant software modules.
• Develop data ingestion and transformation pipelines to source data from internal systems and threat intelligence sources.
• Lead the architecture design for modular, explainable, and extensible risk modelling systems.
• Ensure robustness, auditability, and version control of all models and underlying code per company and regulatory standards.
• Build APIs and tools for integration with business intelligence dashboards, threat platforms, GRC systems, and reporting pipelines.
• Partner with enterprise risk and control management teams to ensure model outputs are interpretable and actionable for decision-makers.

Required Qualifications, Capabilities, and Skills

• Formal training or certification in software engineering concepts and expert applied experience; experience leading technologists to manage and solve complex technical issues.
• Experience leading large or cross-functional teams of technologists.
• Proven ability to influence within highly matrixed, complex organizations and deliver value at scale.
• Experience leading complex projects supporting system design, testing, and operational stability.
• Extensive practical cloud experience.
• Strong programming skills in Python (including libraries like PyMC, NumPy, SciPy, pandas) and experience with probabilistic programming frameworks (e.g., PyMC, Stan, TensorFlow Probability).
• Experience designing and deploying Bayesian networks, Monte Carlo simulations, or other probabilistic models in complex systems.
• Experience developing enterprise-scale data modelling platforms or risk analysis tools.
• Solid knowledge of software architecture principles, cloud design (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD practices.
• Ability to communicate technical concepts clearly to non-technical stakeholders and collaborate across teams.

Additional Qualifications, Capabilities, and Skills

• Advanced degree in Mathematics, Data Science, Engineering, Computer Science, or a related quantitative field.
• Background in graph theory, decision theory, or risk quantification is a plus.
• Understanding of cybersecurity risks, operational resilience, or business continuity frameworks in regulated industries.
• Experience modeling cascading failures, supply chain risks, or complex interdependency networks.
• Proven ability to build strong partnerships with stakeholders and external vendors in a matrix organization.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to clients worldwide. Our approach is to serve clients with integrity and build long-term partnerships to help them achieve their objectives. We value diversity and are an equal opportunity employer, committed to inclusion and accommodation for applicants and employees.

About The Team

Our Corporate Functions team supports areas from finance and risk to human resources and marketing, ensuring the success of our business, clients, and employees.