Credit Risk Management (CRM)
Credit Risk Management (CRM) evaluates credit risk transactions and approves, rejects or modifies them considering the availability and appropriateness of arrangements for reducing risk or risk mitigation. The department also assigns Internal Credit Ratings; establishes and manages credit risk limits in accordance with the risk tolerance established by the Board; monitors and reports on credit risk exposures on a regular basis to the Chief Risk Officer, Chief Credit Officer and senior management. CRM also interacts with the business unit to ensure that credit risk assessments are factored into business decisions.
Background on the Position
CRM is seeking an Associate to join the Global Credit Reporting team responsible for providing Credit Risk Product Heads, the Chief Credit Officer, and Chief Risk Officer with analysis and reporting to support timely and accurate decision making related to the Firm's credit portfolio. The team provides in-depth exposure analysis, risk insights, and reporting for the global credit portfolio, consisting of all products which expose Morgan Stanley to credit risk. The analysis and reporting supports senior management's understanding of current risk drivers, portfolio concentrations, correlations, and potential tail risks.
The Credit Reporting team is responsible for the design, development, and production of recurring management reporting providing value additive analysis of Morgan Stanley's credit risk profile, assessment of emerging risk issues and executive- level visualization. The team also assists regional and product portfolio managers with ad-hoc risk analysis as requested by product leads or senior management. The team works closely with Credit Coverage officers, Business Units as well as other Risk functions.
In addition to running BAU risk reporting functions, the Global Credit Reporting team (including risk stripe reporting teams) contributes to a multi-year strategic program to renovate its risk data and reporting infrastructure and tooling by sourcing the data from authoritative sources/distributors, simplify reporting data views, design interactive, self-service risk Credit risk Power BI Dashboard and retiring legacy Excel based report templates.
Primary Responsibilities
> Support the analysis of material variances in the Credit portfolio. Prepare clear and accurate summaries of analysis findings for internal stakeholder discussion
> Prepare Credit Portfolio review materials, ensuring accuracy, timeliness, and compliance with internal policies and regulatory requirements
> Assist with ad-hoc requests for new point-in-time and trend analysis of the credit portfolio, including capture and aggregation of data not already in credit, risk, or firm systems
> Participate in end-to-end report development lifecycle: ideation, data collection and aggregation, prototyping, report production, and automation
> Identify and escalate data issues to the Data Control team and Credit Risk Agile IT squads, contribute to strategic remediation of data problems
> Collaborate with Data Control, Credit Risk Agile IT squads, Credit Coverage and Business Unit representatives, to ensure new and emerging data required for portfolio analysis is on-boarded into credit risk systems
> Maintain and enhance reporting processes and SQL queries, to facilitate automated risk monitoring and management Skills Required
- Proactive, solution- driven, and able to work independently in a fast-paced environment with strong attention to detail
- Strong analytical and problem-solving skills
- Strong verbal and written communication skills including the ability to summarize information for delivery to senior management
- Ability to meet deadlines while managing multiple deliverables
- Proficiency in Excel, PowerPoint, SQL, and VBA
Qualifications
- Bachelor's degree in finance, Computer Science, or Engineering with 3 or more years of work experience in an investment bank, commercial bank or consulting firm
- Understanding of Credit/Market Risk Concepts, lending and/or traded products e.g Derivatives
- Experience with business intelligence software (Tableau, Qlikview, Power BI, etc.)
- Sufficient knowledge of programming languages such as Python
