Sr Analyst, Credit Risk Mgmt – Modeling & Data Science

Key Skills

Microsoft-Excel, Java Programming, Analytical and Problem solving, Risk Analytics, Python Programming, SQL, Machine learning techniques, Data Visualization, Natural Language Processing (NLP), R Programming, SAS, Powerpoint

Job Description

You must be able to manipulate large amounts of data, extract key insights from data using data science/statistical/analytical concepts, and then be able to take it up a notch by clearly and concisely communicating actionable recommendations to leadership. You will be expected to represent Credit Risk Management team in the role of a credit data, credit risk modeling and data science/machine learning expert.

Responsibilities

• Develop a deep understanding of industry, corporate, and customer drivers to leverage in optimization of all aspects of our decision strategy and business processes across the credit lifecycle
• Develop, maintain, and monitor Credit attributes from both external credit bureau data as well as internal customer behavior data
• Develop, maintain, and monitor Credit Risk models emphasizing both prediction accuracy, and the impact to losses and profitability
• Solve complex customer behavior problems using data science/machine learning/NLP approach

Requirements

• Bachelor's in Finance, Economics, Mathematics. Statistics or related degree required. Master’s or PhD in Analytics, Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree preferred
• 3+ years of Quantitative Analytics experience in the Financial Services industry
• 2+ years of Credit Risk model development experience
• Sold understanding in credit bureau report data and derived credit bureau attributes
• Solid hands-on experience in SAS or other statistical/analytical model building/programming languages
• Superior skills in Excel, Word, PowerPoint required
• Superior communication, organization, presentation and data visualization skills
• Superior time management skills and awareness of project management methods
• Intermediate or higher proficiency in SQL, Python, R or other machine learning software a plus
• Wireless / Telecom experience a plus

• At least 18 years of age
• Legally authorized to work in the United States
• High School Diploma or GED
• T-Mobile requires all employees in this position to be fully vaccinated for

COVID-19 prior to starting work, unless precluded from doing so by applicable law. The CDC currently defines fully vaccinated as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. T-Mobile will require proof of vaccination prior to successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not cause T-Mobile undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.