Model Risk Management, Software & Infrastructure Lead

The role will reside within the Firm Risk Management’s Model Risk Management (MRM) Department which is a team responsible for the Firm’s management of risks related to the implementation and use of models and tools, covering all aspects of the Firm’s businesses and implementing key regulatory requirements. This position is with the Efficiency Evolution Team, which is responsible for coordinating various Fleet activities related to infrastructure and adoption of AI solutions to generate efficiencies.

Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk‑adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks. Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

What will you be doing?

• Prototype, evaluate, and iterate on new tools, workflows, and process improvements to optimize the end‑to‑end model validation lifecycle, with a focus on efficiency, reproducibility, and control readiness.
• Design, develop, automatically test, and maintain production quality Python applications that support validation execution, evidence capture, reporting, and independent testing activities.
• Build and distribute well documented internal Python packages (e.g., reusable libraries, CLI tools, and developer tooling), including versioning, release notes, and backward compatibility practices to support department wide adoption.
• Partner closely with stakeholders (e.g., model reviewers/validators and related risk partners) to gather requirements, translate pain points into scalable solutions, and deliver tools that improve day‑to‑day effectiveness and turnaround times.
• Establish and maintain automated quality controls (e.g., unit and integration tests, CI checks, static analysis) to improve reliability and reduce operational risk across the codebase.
• Contribute to and uphold engineering standards for the team, including coding conventions, documentation expectations, testing strategies, and packaging/release patterns, to improve consistency and maintainability across tools.

What we’re looking for:

• Bachelor’s or higher degree in Computer Science or a related field.
• 5+ years of software development experience.
• Extensive experience with Python, Git, and Linux.
• Extensive experience with data management, analytics, and visualization.
• Proven track record of developing Python packages with appropriate documentation and test suites.
• Proven track record of developing robust Continuous Integration and Continuous Development pipelines.
• Strong background in Machine Learning and Statistics, ideally in the Banking/Finance industry.
• Experience with RDBMS and other types of database management systems.
• The ability to effectively communicate with a wide range of stakeholders, both written and verbally.
• Strong attention to detail and ability to provide information in usable formats (proficiency in Microsoft office, including Excel, PowerPoint and Word).

Skills that will help you in the role:

• Ability to work independently in a self‑directed way in a collaborative environment.
• An interest in working in a fast‑paced environment, often balancing multiple high priority deliverables.

Where will you be working?

This role is based at 20 Bank Street, London.

Benefits

There is ample opportunity to move across the business for those who show passion and grit in their work, and Morgan Stanley offers a range of attractive and comprehensive employee benefits and perks.

Flexible work statement

Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.