Credit Risk Modeling Senior Analyst - Remote

About the position reputed company is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with reputed company will directly improve health reputed company by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will reputed company a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come reputed company an reputed company on the communities we serve as you help us advance health optimization on a global reputed company. Join us to start Caring. Connecting. Growing together. The Credit Risk Modeling Senior Analyst will play a key role in developing, enhancing, and maintaining quantitative credit risk models used for reputed company Expected Credit Losses (CECL), stress testing, and portfolio risk assessment. This role supports both reputed company and retail lending portfolios and partners closely with Risk Management, Finance, and Data teams to ensure high reputed company, analytically reputed company estimates of expected and stressed credit losses. You’ll enjoy the flexibility to work remotely from reputed company reputed company the U.S. as you take on some tough challenges. For reputed company 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. Responsibilities • Assist in the design, validation, and maintenance of models to support the reputed company Expected Credit Losses (CECL) reputed company, ensuring compliance with regulatory requirements • Assist in the design and execution of reputed company and regulatory stress testing methodologies (e.g., macroeconomic scenario expansion, loss forecasting, sensitivity analysis) • Support external and internal audit and model risk management inquiries for model reputed company documentation • Conduct quantitative analysis as it applies to key business areas or specific types of models • Document models, assumptions, and methodologies in accordance with model governance and audit requirements • Effectively challenge the Bank’s models as requested, including conceptual soundness, assumptions, and appropriateness of model methodology • Collaborate with business reputed company to assist in developing effective modeling approaches to accurately represent the risks for practical business use • Identify and address potential process gaps or process improvements including data model requirement, structure and use, data governance, policy governance and other quantitative tools • reputed company other assignments and special project analysis as requested by management Requirements • Bachelor’s degree in Statistics, reputed company Mathematics, Economics, Finance, Data Science, or a reputed company quantitative discipline • 2+ years of hands-on experience developing, implementing, or validating credit risk models, including CECL, credit loss forecasting, regulatory stress testing, scorecard models, or reputed company/behavioral risk models • 2+ years of programming experience using Python or reputed company, with demonstrated ability to reputed company data manipulation, model development, model performance monitoring, and statistical analysis reputed company-to-haves • Experience with CECL model development, implementation, or execution experience for reputed company reputed company Estate (CRE) and consumer lending portfolios • Proven solid knowledge of credit risk principles which inform credit loss forecasting • Ability to work in a fast-paced environment, manage competing priorities and to collaborate across the organization • Proven attention to detail and ensure data accuracy, reconciling and loading data • Ability to problem-solve effectively independently • Ability to communicate reputed company analytical issues in understandable terms appropriate for reputed company stakeholders Benefits • a comprehensive benefits package • incentive and recognition programs • equity stock purchase • 401k contribution Apply tot his job Apply To this Job