Sr Analysts, Credit Risk Mgmt

About the role

T-Mobile is seeking experienced Sr Analysts, Credit Risk Mgmt to join our team in Bellevue, WA. The ideal candidate will analyze customer behavior to inform and refine credit strategies.

Responsibilities

• Forecast financial trends to support strategic decision-making.
• Evaluate and optimize the effectiveness of credit policies and outcomes.
• Develop customer risk segments to improve credit management and performance.
• Utilize statistical segmentation techniques to identify new opportunities.
• Perform complex qualitative and quantitative analysis of credit policies to ensure financial goals are being attained.
• Develop predictive financial and analytical models using the appropriate statistical methodologies, including trend and regression analysis.
• Participate and perform the analysis of new data and statistical products by external vendors.
• Perform loss forecasting analysis.
• Extract, process and transform data from multiple disparate sources.
• Analyze credit bureau data and alternative credit data.

Requirements

• Bachelor’s degree in Computer Science, Computer Programming, Computer Engineering, Business Administration, or related field, with 5 years of relevant work experience.
• Master’s degree in Computer Science, Computer Programming, Computer Engineering, Business Administration, or related field, with 3 years of experience.

Skills

• Experience with SQL, Excel VBA, or analytical programming languages such as R to manipulate and analyze large-scale datasets.
• Knowledge of Snowflake, CV, CUW, or Teradata to extract, transform, and integrate data from multiple sources.
• Proficiency in leading data-driven initiatives from requirements gathering to analytical framework design, using statistical methods in R or Python including decision trees, regression models, and K-means clustering.
• Ability to develop executive-level visualizations and performance tracking dashboards using tools such as Tableau, Power BI, SQL, Excel/VBA, and Python.
• Experience developing financial models and forecasts, including Customer Lifetime Value prediction, cohort analysis, scenario modeling, using Excel, SQL, Python, and libraries such as NumPy, pandas, and scikit-learn.
• Experience managing credit risk and underwriting by applying knowledge of credit structures and leveraging transactional, payment, and consumer behavioral data to build predictive models and develop optimization models.

Benefits

At T-Mobile, employees are eligible for a competitive Total Rewards Package, including a competitive base salary and compensation package, annual stock grants, employee stock purchase plans, 401(k), and access to free, year-round money coaches. Additional benefits include medical, dental, and vision insurance, a flexible spending account, paid time off, up to 12 paid holidays, paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. Eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs.

Pay

$146,182 to $153,800 per year.

Schedule

40 hours/week.