Sr Analysts, Credit Risk Mgmt

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T-Mobile is America's supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr Analysts, Credit Risk Management is located in Frisco, TX and will perform complex qualitative and quantitative analysis of credit policies to ensure financial goals are being attained. Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week.

Less than 10% domestic travel to T-Mobile Headquarters is anticipated. No international travel anticipated.

Position duties and responsibilities include, but are not limited to:

• Utilize statistical segmentation techniques to identify new opportunities.

• Develop predictive financial and analytical models using 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.

• Analyzing credit bureau data and alternative credit data.

Minimum requirements:

Experience and education requirements:

PRIMARY REQUIREMENTS: Bachelor's degree or foreign equivalent in Finance, Economics, Mathematics, Analytics, Industrial Engineering, Statistics, or related, and 5 years of relevant work experience.

ALTERNATIVE REQUIREMENTS: Master's degree or foreign equivalent in Finance, Economics, Mathematics, Analytics, Industrial Engineering, Statistics, or related, and 3 years of relevant work experience.

Skills requirements:
Requires experience in each of the following skills:

Apply SQL, Python, Excel VBA and analytical programming language R to manipulate and analyze large-scale datasets, derive critical insights, and translate complex findings into clear, actionable recommendations tailored for Executive Leadership.

Utilize Snowflake SQL and Python to extract, transform, and integrate data from multiple sources, with knowledge in managing the full Exploratory Data Analysis (EDA) lifecycle, including advanced querying, data cleaning, feature engineering, and data profiling to ensure data quality and analytical accuracy.

Lead data-driven initiatives from requirements gathering to analytical framework design, with proficiency in leveraging statistical methods in R and Python including decision trees, regression models, and K-means clustering to enhance customer segmentation and credit risk strategies.

Develop executive-level visualizations and performance tracking dashboards using Tableau, Power BI, SQL, Excel VBA, and Python including pandas, matplotlib, and seaborn by

performing ETL and data engineering including Extraction, Transformation, and Loading to deliver insights, monitor key metrics, and evaluate the impact of risk strategies.

Manage credit risk and underwriting by applying knowledge of credit structures and leveraging transactional data, external vendor data, and internal consumer behavioral data to build predictive, classification, and optimization models using Python and Excel. Utilize Tableau and Power BI to visualize portfolio performance and support the design and implementation of new credit initiatives.

Develop financial models and forecasts:
Customer Lifetime Value prediction, cohort analysis, scenario modeling, design of A/B experiments, using Excel, SQL, Python including Num Py, pandas, and scikit-learn to evaluate strategies and drive growth.

• Additional:
  • Location:
    
    Frisco, TX
  • Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. Less than 10% domestic travel to T-Mobile Headquarters is anticipated. No international travel anticipated.
  • This position is eligible for the employee referral program.
  How to apply
  :
  • Visit
  • Create a candidate profile, and apply to requisition number: REQ
    360294.
  OTHER: Work hours: 40 hours/week. Salary $105,500 to $115,000 per year.
  • The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience.
  • At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on…