Senior Credit Risk Analyst - CECL & Stress Testing - Remote

UnitedHealth Group•Draper, UT

7h•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Credit Risk & CECL Analyst will support the execution, analysis, and ongoing monitoring of quantitative credit risk models used for Current Expected Credit Losses (CECL), credit stress testing, and portfolio loss forecasting. This role is intended for an experienced analyst with hands-on exposure to running models, analyzing outputs, supporting assumptions and overlays, and preparing defensible documentation for management, audit, and regulatory review. The position focuses on model usage, execution, and analytical support rather than primary model development. The analyst will work closely with Credit, Finance, and Data partners to ensure accurate, well-controlled, and well-communicated loss estimates across retail and commercial lending portfolios. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

Bachelor’s degree in Statistics, Economics, Finance, Mathematics, Data Science, or related quantitative discipline
3+ years of experience running and supporting CECL, ACL, credit stress testing, or loss forecasting at a financial institution or consulting firm
Proficiency in Python and/or SAS for data manipulation and analytical support

Nice To Haves

Experience supporting consumer and/or commercial lending portfolios (e.g., CRE, C&I, unsecured consumer)
Demonstrated familiarity with third party CECL or stress testing platforms (e.g., Moody’s, Abrigo, Empyrean, or similar)
Proven working knowledge of credit risk concepts such as PD/LGD, vintage analysis, roll rates, or loss emergence
Exposure to regulatory expectations related to CECL, stress testing, model governance, or allowance oversight
Proven solid attention to detail, ability to manage multiple priorities, and comfort working in a controlled, deadline driven environment

Responsibilities

Execute CECL models on a recurring basis (monthly and quarterly), including data preparation, model runs, validation checks, and reconciliation to source systems
Perform credit stress testing and scenario-based loss forecasting, supporting both regulatory and business-as-usual stress testing processes
Analyze period-over-period changes in allowance levels, expected losses, and stressed loss estimates; clearly explain key drivers and sensitivities
Support the development and documentation of model assumptions, economic scenarios, overlays, and management judgment frameworks
Prepare and maintain model execution documentation, results summaries, and methodology support materials consistent with model governance and audit standards
Assist with responses to model risk management, internal audit, external audit, and regulatory inquiries, including data lineage, assumptions, and result interpretation
Partner with stakeholders to ensure loss estimates appropriately reflect portfolio characteristics, credit risk appetite, and economic conditions
Perform ad hoc analyses related to portfolio performance, emerging risks, stress sensitivities, and scenario impacts
Support continuous improvement of CECL and stress testing processes, including data quality checks, analytical controls, reporting clarity, and automation opportunities