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Morgan Stanley · 2 days ago

Quantitative Portfolio Associate - Credit Risk (Risk Management)

New York, NY

Full-time

Onsite

Mid, Senior Level

$100K/yr - $140K/yr

2+ years exp

Morgan Stanley is a leading global financial services firm that supports its business goals through effective risk management. The Quantitative Portfolio Associate will focus on credit risk analysis and portfolio management, partnering with technology teams to develop AI-driven tools for enhanced credit risk assessment and decision-making processes.

Asset ManagementFinanceFinancial ServicesLending

Responsibilities

Conduct credit analysis and due diligence for corporate lending transactions, process transaction approval packages, and present credit recommendations to senior CRM officers

Review financial models' integrity and generate/review credit and downside cases

Evaluate structure and terms in legal documentation in connection with the Leveraged Finance team

Conduct portfolio management activities and monitor existing credits for warning signs of potential deterioration of credit profile and recommend credit actions

Collaborate with junior and senior staff on portfolio management and/or transaction approvals

Review and draft documentation for regulatory reviews and exams

Work with technology and data science teams to define requirements and validate AI models for credit risk analysis and portfolio monitoring

Provide subject matter expertise to ensure AI applications reflect sound credit underwriting principles and regulatory standards

Participate in testing and implementation of AI tools, offering feedback to improve usability and accuracy

Qualification

Credit Risk ManagementFinancial ModelingAI Solutions DevelopmentLeveraged Finance KnowledgeData AnalyticsMicrosoft Office ProficiencyCommunication SkillsOrganizational SkillsAttention to DetailTeam Collaboration

Required

Bachelor's degree with 2-5 years of work experience, preferably in Credit Risk Management, Investment Banking, or Corporate Finance

Proven Financial Modeling Experience With Strong Analytical Skills

Ability to effectively communicate with a wide range of stakeholders, both written and verbally

Ability to work independently in a team-oriented environment

Knowledge of Leveraged Finance and capital markets products

Strong organizational skills with an interest in working in a fast-paced environment, often balancing multiple high-priority deliverables

Strong attention to detail and ability to provide information in usable formats (proficiency in Microsoft Office, including Excel, PowerPoint, and Word)