Credit Risk Analytics Analyst

T-MOBILE USA, Inc.; Frisco (TX); On-site; USD 76,000 - 137,000; Full time

Benefits offered by this job

Stock grants

Employee stock purchase plan

401(k)

Paid time off

Paid holidays

Job summary

T-Mobile USA, Inc. is seeking a Credit Risk Analyst to identify credit segmentation opportunities using statistical methods, and to develop and deploy credit strategies with cross-team collaboration in Frisco, TX.

You will manipulate large datasets, build predictive models, and present actionable insights to improve credit decision processes and risk management. Strong programming and visualization skills are required.

Qualifications

• Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent.
• Intermediate or higher proficiency in SAS, SQL, R, Python, or other statistical/analytical programming languages
• Familiar with data visualizations tools including Tableau, Power BI, SQL, Excel/VBA, Python including pandas, matplotlib, etc.
• Superior computer skills in Excel, Word, PowerPoint required
• Superior communication (spoken and written), organization and presentation skills
• Superior time management skills and awareness of project management methods
• Graduate degree in a quantitative discipline 3+ years of quantitative analytic modeling experience, credit risk management or comparable process management experience
• Acceptable areas of study include Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
• Prior consumer risk management experience
• Wireless / Telecom experience

Responsibilities

• Utilize statistical segmentation techniques, for example decision trees, regression models, and K-means clustering, to identify new opportunities.
• Extract, load and transform data from several sources using SQL, Excel VBA, programming languages like R, Python, etc. for statistical, reporting and ad-hoc analysis.
• Perform qualitative and quantitative analysis of credit polices to meet given objectives.
• 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.
• Work with credit bureau and alternative credit data.
• Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines.

Skills

SAS

SQL

R

Python

Tableau

Power BI

Excel VBA

Education

Bachelor's degree + 2 yrs exp

Graduate degree (quantitative)

Job description

T-Mobile USA, Inc. is seeking a Credit Risk Analyst to identify credit segmentation opportunities using statistical methods, and to develop and deploy credit strategies with cross-team collaboration in Frisco, TX.

You will manipulate large datasets, build predictive models, and present actionable insights to improve credit decision processes and risk management. Strong programming and visualization skills are required.