Morgan Stanley

Risk Analytics Vice President

London

FULL TIME

November 29, 2024

Risk Analytics Vice President
Job Number:
3262926
POSTING DATE: Nov 29, 2024
PRIMARY LOCATION: Europe, Middle East, Africa-United Kingdom-United Kingdom-London
EDUCATION LEVEL: Master's Degree
JOB: Risk Analytics
EMPLOYMENT TYPE: Full Time
JOB LEVEL: Vice President
DESCRIPTION
Risk Analytics Vice President
London
3262926

The role will reside 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.

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?
  • Enhance and/or redevelop existing Rating models, and PD Calibration models, while ensuring compliance with different regulatory requirements (UK, EU, etc) as well as internal global model development standards.
  • Collaborate in a global team environment to execute projects such as:
o model enhancements and recalibrations,
o benchmarking, testing and performance monitoring of rating models.
  • Support line-by-line self-assessment processes against relevant regulations such as CRR, EGIM, etc for rating models.
  • Review and challenge 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 rating models.

QUALIFICATIONS
What we’re looking for:
  • 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 [preferred], R)
  • Knowledge of relevant IRB model class

Skills that will help you in the role:
  • Knowledge of relevant IRB regulations and requirements (UK and EU)
  • Collaborate with teams and stakeholders throughout FRM
  • 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.

Where will you be working?
This role will be within the EMEA Credit Risk Methodology team, based in London, 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.

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.

Internal Applicants:
Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.

Equal opportunities statement:
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize 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.
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