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Analyst, Credit Risk - Data Science & Modeling
Analyst, Credit Risk - Data Science & ModelingT Mobile US • Frisco, TX, US
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Analyst, Credit Risk - Data Science & Modeling

Analyst, Credit Risk - Data Science & Modeling

T Mobile US • Frisco, TX, US
3 days ago
Job type
  • Full-time
Job description

Analyst, Credit Risk Management

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!

As an Analyst within the Credit Risk Management team, you will wear multiple hats. You will use your strong blend of analytical skills, project management, presentation skills, and ability to develop strong and effective working relationships. You will work independently, and / or as part of a team of analysts, to identify new credit segmentation opportunities using statistical methods leading to enhancements to our credit decision process and policies, collections strategies, and fraud strategies. You will partner within members of the Credit Risk Management team and other functional teams in T-Mobile for the deployment, analysis and tracking of new credit strategies to manage risk. You manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon your insights. In many cases, you will participate in projects at various stages from idea or hypothesis generation to development and / or implementation. You will be expected to contribute actively with creative and credit-focused ideas, to demonstrate problem solving skills and ownership aptitude. Unstoppable, Together!

Responsibilities

  • Utilize statistical segmentation techniques to identify new opportunities
  • Extract, load and transform data from multiple sources necessary for statistical, reporting and ad-hoc analysis
  • Perform qualitative and quantitative analysis of credit policies 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

Education / Qualifications - Required

  • 2-4 years experience in a qualitative analytical function
  • Bachelors Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
  • Intermediate or higher proficiency in SAS or other statistical / analytical programming languages
  • 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
  • Education / Qualifications Desired

  • 3+ years of quantitative analytic modeling experience, credit risk management or comparable process management experience
  • Graduate degree in a quantitative discipline a plus
  • Basic proficiency in SQL, Python, R or other statistical software packages
  • Prior consumer risk management experience a plus
  • Wireless / Telecom experience a plus
  • At least 18 years of age
  • Legally authorized to work in the United States
  • Travel : Travel Required (Yes / No) : No DOT Regulated : DOT Regulated Position (Yes / No) : No Safety Sensitive Position (Yes / No) : No Base Pay Range : $76,100 - $137,300 Corporate Bonus Target : 10%

    The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

    At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and / or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and / or team performance.

    To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com .

    Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladderit'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. By applying for this career opportunity, you're living our values while investing in your career growthand we applaud it. You're unstoppable! 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 ApplicantAccommodation@t-mobile.com 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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