Risk Analytics (Risk Management)

at  Morgan Stanley

Risk Analytics (Risk Management)
Job Number:

3253447
POSTING DATE: Jun 4, 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: Associate

DESCRIPTION

Risk Analytics (Risk Management) (ID: 3253447) – Associate
Firm Risk Management
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.
Background on the Position
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, probability of default, loss given default or exposure, 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, reporting to a Vice President in Credit Rating 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.
Primary Responsibilities
Develop or enhance existing IRB models for global use, while ensuring compliance with different regulatory requirements (USA, UK, EU, Germany) and internal standards
Collaborate in a global team environment to execute projects such as
model developments
benchmarking, testing and performance monitoring
preparation for stakeholder or regulatory interactions
Ensure projects, including model developments and implementations, comply with Global Risk Analytics standards
Coordinate with and support credit analysts, capital teams and model risk management team (among others)
FRM is committed to creating and providing opportunities that enable our workforce to reflect diverse backgrounds and views.

QUALIFICATIONS

Qualifications
MSc or equivalent in a quantitative subject
Understanding of statistical techniques used in risk modelling such as Regression, decision trees, survival analyses, machine learning, etc.
Analytical ability and programming skills (Python [preferred], R)
Experience in IRB Modelling (preferred, but not essential)
Relevant experience in a quantitative role in the Financial Services industry (preferred, but not essential)
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

Please refer the Job description for details