Sr Analyst, Credit Risk Mgmt

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Join our dynamic Credit Risk Management team as a Senior Analyst, and together, we'll conquer new challenges! At our core, we believe in a collaborative approach, and as a key player in our team, you'll find yourself wearing multiple hats. Your unique blend of analytical prowess, project management finesse, and outstanding presentation skills will be the driving force behind our success.

Collaborate seamlessly with a talented group of analysts, identifying groundbreaking credit segmentation opportunities through statistical methods. Fuel enhancements in our credit decision processes, policies, collections strategies, and fraud prevention measures. This role extends beyond just analysis – you'll be an integral part of the Credit Risk Management team, working hand-in-hand with business partners at T-Mobile. Together, we'll deploy, analyze, and track new credit strategies, manage risk and craft the future of our credit landscape.

Ready to make a real impact? Embark on an exciting career, at the forefront of transforming raw data into meaningful insights! As a key player in our dynamic team, you'll be entrusted with the task of handling substantial data sets, extracting valuable insights, and presenting clear, actionable recommendations. Actively engage in projects, from generating innovative ideas to contributing to the development and implementation stages.

Are you ready to bring your expertise to the table as a Credit Risk Management Sr Analyst? Join us and be a driving force in shaping the future of data-driven decision-making!

Apply statistical segmentation techniques to identify new opportunities

Perform sophisticated qualitative and quantitative analysis of credit polices 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; analyzing credit bureau data and alternative credit data Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines

Qualifications – Minimum Required5+ years of quantitative analytic modeling experience or comparable process management experience BA/BS in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree required

Basic proficiency in SQL, Python, R or other statistical software packages required

Outstanding computer skills in Excel, Word, PowerPoint required

Strong communication (spoken and written), organization and presentation skills

Proven time management skills and awareness of project management methods

Education – Minimum Required Bachelor’s Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree

Qualifications – Desired Graduate degree in a quantitative field a plus Intermediate or higher proficiency in SAS or other statistical/analytical programming languages highly preferred

Prior consumer risk management experience preferred

Wireless / Telecom experience#LI-Corporate At least 18 years of age Legally authorized to work in the United States Travel:

Travel Required (Yes/No):
No

DOT Regulated:

DOT…