Risk Analytics - Associate

We are looking for a new colleague for a Risk Analytics Associate role within Firm Risk Management's Risk Analytics Department, specifically the Credit Risk Methodology Group.

This team is responsible for development of credit risk models for estimation of ratings, and probability of default, primarily for use in Internal Ratings Based (IRB) capital calculations but also other downstream processes.

This role will be within the EMEA Credit Risk Methodology team, based in Frankfurt, working closely within the global function in the US and other locations. The EMEA team, in addition to contributing to global workstreams and priorities, focuses on ensuring that specific regional / legal-entity requirements, standards and practices are met.

About Morgan Stanley

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

What will you be doing?

• Support enhancement of PD models, while ensuring compliance with different regulatory requirements (UK, EU) and internal standards.
• Collaborate in a global team environment to contribute to projects such as:
  - Enhancement/development of global models.
  - benchmarking, testing and performance monitoring of models.
• Support line-by-line self-assessment processes against relevant regulations such as CRR, EGIM for above models.
• Support review and challenge of the data and assessments provided by Credit, seek second line approval by demonstrating model conceptual soundness, and strong model performance, as well as ensure compliance with relevant global and regulatory standards for the models.

• MSc or equivalent in a quantitative subject
• Understanding rapidly evolving landscape of statistical techniques used in risk modelling such as machine learning.
• Strong analytical ability and programming skills (Python)
• Knowledge of relevant IRB model class
• Knowledge of relevant IRB regulations and requirements (UK and EU)

• The ability to effectively communicate with a wide range of stakeholders, both written and verbally.
• An interest in working in a fast-paced environment, often balancing multiple high priority deliverables.
• The ability to work independently in a self-directed way in a collaborative, team-oriented environment