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Quantitative Risk Professional

2 months ago

Boston, Massachusetts, United States Citizens Full time

**About the Role**

We are seeking a highly skilled quantitative credit risk professional to join our team at Citizens. As a key member of our risk management team, you will be responsible for designing, developing, testing, and executing credit risk models that cover CCAR/DFAST Stress Testing, CECL (ACL), Economic Capital, BAU Loss Forecasting, and other applications.

**Key Responsibilities**

  • Develop and support statistical/econometric credit risk models, including probability of default (PD), recovery/loss given default (LGD), and valuation models, looking at correlations, concentrations, rating migrations, and risk contributions.
  • Collaborate with business line partners to embed and socialize these models and provide ongoing support.
  • Work with the independent model validation team to obtain model approval after development is complete.
  • Analyze consumer lending portfolio trends to support portfolio strategies and applications.
  • Draw from source systems and maintain large data sets using advanced statistical/modeling tools. Resolve or remediate data quality issues with appropriate parties.
  • Maintain, review, and adhere to the organization's credit policy, verifying the integrity of underlying data and constantly monitoring and validating underlying theories and methodologies.
  • Support the implementation of model development, including third-party vendor solution tools for credit risk.
  • Prepare ad-hoc risk quantification projects at the request of management.
  • Participate in peer review sessions and maintain awareness of new advances in credit risk modeling techniques to ensure the application of best practices to CFG credit risk models.

**Requirements**

  • 7+ years of experience in the financial industry working with model development.
  • Prior experience in loss forecasting model development in consumer or commercial lending portfolios (consumer preferred).
  • Strong understanding of commercial banking and lending products.
  • Strong knowledge of statistical software packages, including SAS, Stata, R, and Python.
  • Background and knowledge of the FASB CECL, DFAST rules, and other banking regulations like the Fair Lending Act.
  • Understanding of compliance and implications of FDIC, OCC, FRB regulatory frameworks, as well as accounting standards.

**Education**

  • BA Degree in a quantitative field required (Econometrics, Statistics, Mathematics, Operational Research, Physics).
  • PhD or Master's degree preferred.

**Work Arrangements**

  • Hybrid work arrangement with 3 days in the Boston MA office and 2 remote days.
  • Hours per week: 40.
  • Work schedule: Monday-Friday.