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Manager, Credit Risk & Portfolio Analytics
Location: Chicago, IL (Hybrid)
Employment Type: Full-Time
Overview
Our client, a large and well-established financial services organization based in Chicago, is seeking a Manager, Markets Credit to lead credit risk oversight across mortgage-related assets and fixed income investment portfolios.
This role will manage a team responsible for developing and maintaining credit risk models, performing scenario analysis and stress testing, and monitoring portfolio risk trends. The position will also collaborate closely with cross-functional teams to support investment strategies, product development initiatives, and regulatory compliance efforts.
The ideal candidate is a strong analytical leader with experience in credit risk modeling, mortgage or structured finance exposure, and a track record of leading high-performing analytical teams.
Key Responsibilities
Credit Risk Oversight

• Oversee the monitoring and analysis of credit risk exposures within mortgage-related and investment portfolios.
• Identify emerging risk trends and provide insights into portfolio performance and risk concentrations.
• Ensure risk management frameworks support sound portfolio management and investment decision-making.

Credit Modeling & Analytics

• Lead the development and maintenance of credit risk models including prepayment, default, and loss forecasting models.
• Manage model assumptions, calibration, validation support, and performance monitoring.
• Conduct model back-testing and benchmarking to evaluate model effectiveness and recommend improvements.
• Design analytical tools and risk frameworks to evaluate credit enhancement adequacy and portfolio resilience.

Stress Testing & Scenario Analysis

• Lead scenario analysis and macroeconomic stress testing across mortgage and investment portfolios.
• Evaluate portfolio sensitivity to changing market conditions and economic variables.
• Present findings and recommendations to senior stakeholders.

Regulatory & Governance Collaboration

• Partner with model validation teams, internal audit, and regulatory stakeholders to ensure models and processes meet governance requirements.
• Support regulatory reporting and model documentation standards.

Data & Process Innovation

• Identify opportunities to enhance risk monitoring through advanced analytics, automation, and improved data infrastructure.
• Lead initiatives that improve analytical efficiency and portfolio risk transparency.

Team Leadership & Stakeholder Collaboration

• Lead and develop a team of credit risk analysts and quantitative professionals.
• Provide mentorship, performance management, and guidance on analytical methodologies.
• Build strong partnerships with internal teams including finance, treasury, operations, legal, and risk management.

Qualifications
Education

• Bachelor's degree in Mathematics, Finance, Economics, Statistics, Computer Science, or a related quantitative discipline
• Master's degree preferred

Certifications (Preferred)

• CFA or FRM designation or candidacy

Experience

• 5+ years of experience in credit risk modeling, quantitative analytics, or financial risk management
• 2+ years of people management experience
• Experience working with mortgage assets, fixed income securities, or structured finance portfolios

Technical Skills

• Strong experience developing predictive statistical models and analytical frameworks
• Proficiency with SQL, Python, or R
• Experience with business intelligence and analytics tools such as Tableau or Alteryx
• Strong data analysis and modeling capabilities

Risk & Regulatory Knowledge

• Familiarity with credit risk management frameworks and model governance
• Experience supporting model validation, regulatory reviews, or audit processes
• Understanding of mortgage lending, underwriting, or servicing processes is a plus

Leadership & Communication

• Ability to lead and develop analytical teams
• Strong stakeholder communication and presentation skills
• Ability to translate complex analytical findings into actionable insights for business leaders
• Strong problem-solving and critical thinking skills