Manager, Credit Risk & Portfolio Analytics

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 .