Senior Credit Risk Analyst — Data-Driven Forecasting

T-MOBILE USA, Inc.; Frisco (TX); Hybrid; USD 105,500 - 115,000; Full time

Benefits offered by this job

Employee referral program

Job summary

T-Mobile USA, Inc. seeks a Sr Analyst, Credit Risk Management in Frisco, TX. The role conducts complex qualitative and quantitative analysis of credit policies to ensure financial goals. Telecommuting is permitted, with 3-4 days on-site. Travel is minimal, mostly domestic.

Responsibilities include building predictive models, data extraction from multiple sources, and creating executive dashboards with Tableau/Power BI. Requires strong SQL, Python, and R skills with advanced data manipulation.

Qualifications

• Bachelor's degree or foreign equivalent in Finance, Economics, Mathematics, Analytics, Industrial Engineering, Statistics, or related, and 5 years of relevant work experience.
• Master's degree or foreign equivalent in Finance, Economics, Mathematics, Analytics, Industrial Engineering, Statistics, or related, and 3 years of relevant work experience.
• Requires experience in SQL, Python, Excel VBA and analytical programming language R to manipulate large-scale datasets and derive insights.
• Proficient in Snowflake SQL and Python to extract, transform, and integrate data from multiple sources.

Responsibilities

• Utilize statistical segmentation techniques to identify new opportunities.
• Develop predictive financial and analytical models using regression analysis and other methods.
• Analyze data from multiple sources including external vendors and credit bureau data.
• Perform loss forecasting analysis and model validation.
• Develop executive-level visualizations and dashboards using Tableau, Power BI, and Python.

Skills

SQL

Python

Excel VBA

R

Snowflake SQL

ETL

Tableau

Power BI

Data Visualization

Education

Bachelor's degree

Master's degree

Tools

Snowflake SQL

Tableau

Power BI

Excel VBA

Python

Job description

T-Mobile USA, Inc. seeks a Sr Analyst, Credit Risk Management in Frisco, TX. The role conducts complex qualitative and quantitative analysis of credit policies to ensure financial goals. Telecommuting is permitted, with 3-4 days on-site. Travel is minimal, mostly domestic.

Responsibilities include building predictive models, data extraction from multiple sources, and creating executive dashboards with Tableau/Power BI. Requires strong SQL, Python, and R skills with advanced data manipulation.