T-Mobile | Sr Analysts, Credit Risk Management | Overland Park, KS | United States | BigDataKB.com | 17 Oct 2022

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Job Location: Overland Park, KS

Be unstoppable with us!
T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop!

Position summary

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. Senior Analysts, Credit Risk Management located in Overland Park, KS will work closely with the Credit Risk Management leadership team, Consumer and T-Mobile for Business (TfB) Credit Strategy and Collections Strategy teams to develop/maintain Credit Risk models and solve complex customer behavior and advanced analytical problems.

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

  • Own and be responsible for developing and maintaining Credit Risk models and attributes to support both consumer and TfB credit risk decisions throughout the customer credit lifecycle.

  • Partner with other functional teams in T-Mobile for deployment, tracking of Credit Risk models, and provide read-outs to leadership based on model performance insights and analytics.

  • 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.

  • Represent the Credit Risk Management team in the role of a credit data, credit risk modeling, and data science/machine learning expert.

  • Develop a deep understanding of the 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 on losses and profitability.

  • Solve complex customer behavior problems using data science/machine learning/NLP approaches.

  • Telecommuting is permitted, but applicants must live within a reasonable commuting distance.


Skill requirements:

  • (1) Using SQL and SAS, python or other statistical/analytical programming languages to manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon insight.

  • (2) Working independently to identify new segmentation opportunities using statistical methods such as decision tree, clustering, leading to enhancements to decision process and policies.

  • (3) Developing predictive financial and analytical models using the appropriate statistical methodologies, including trend and regression analysis, classification, machine learning algorithm and credit risk scorecard.

  • (4) Extracting, loading and transforming data from multiple sources necessary for statistical, reporting and ad-hoc analysis.


Experience and education requirements:

PRIMARY REQUIREMENTS: Master’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Physics, or related, and 3 years of relevant work experience.

ALTERNATIVE REQUIREMENTS: Bachelor’s degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, Physics, or related, and 5 years of relevant work experience.


Additional:

  • Location: Overland Park, KS

  • This position is eligible for the employee referral program.


How to apply:

  • Visit www.tmobile.jobs.

  • Create a candidate profile, and apply to REQ203945


OTHER:
Work hours: 40 hours/week. Salary: $107,100.00/year.

  • At least 18 years of age
  • Legally authorized to work in the United States
  • T-Mobile requires all employees in this position to be fully vaccinated for COVID-19, 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, 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.


Travel
:
Travel Required (Yes/No):No

DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No

T-Mobile’s Commitment

Never stop growing!
T-Mobile doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward.

If you’d like to receive more information about careers at T-Mobile, sign up for the T-Mobile Talent Community today! https://www.tmobile.careers/profile/join/

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [email protected] or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.




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