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Morgan Stanley · 4 months ago

Risk Analytics (Risk Management) : Job Level - Vice President

New York, NY

Full-time

Onsite

Mid, Senior Level

$120K/yr - $200K/yr

5+ years exp

Morgan Stanley is a leading global financial services firm, and they are seeking a Vice President level candidate to join its Credit Exposure Methodology Group within the Firm Risk Management's Risk Analytics area. The role involves developing counterparty credit risk models and collaborating with various teams to enhance risk assessment methodologies.

Asset ManagementFinanceFinancial ServicesLending

Responsibilities

Develop, enhance and maintain Counterparty Credit Risk (CCR) methodology

Develop models for portfolio analytics purpose, such as credit limit setting and stress limit setting

Write high-quality model documentation that satisfies the firm's internal model approval functions, audit requirements, and the Firm's regulators (e.g., FRB, OCC, SEC, etc.)

Closely work with other teams within FRM to provide regular ongoing model performance assessments, hypothetical risking analysis and override monitoring. Review analysis results with senior management and provide recommendations

Working in an advisory capacity with local/global risk managers and Front Office stakeholders to ensure risk is appropriately captured

Develop analytical tools to support to other teams within Firm Risk Management

Qualification

Counterparty Credit Risk ModelsQuantitative AnalysisMonte Carlo SimulationDerivatives PricingHypothesis TestingRegression AnalysisCoding LanguagesCommunication SkillsCritical ThinkingProblem SolvingCollaborationAttention to Detail

Required

Graduated from a four-year accredited university with a quantitative major such as Math / Physics / Statistics / Econometrics / Engineering / Computer Science

5 to 10 years work experience in a quantitative research group at a commercial bank, investment bank, or consulting firm

Quantitative skills especially in the area of Monte Carlo simulation, derivatives pricing, hypothesis testing and regression

Strong skills in communication, critical thinking, and problem solving and collaboration

Curious about risk management, financial products, markets, and regulation

An interest in a fast-paced environment, often balancing multiple high priority deliverables

Strong attention to detail and ability to provide information in usable formats

Familiarity with coding languages