at T-Mobile USA, Inc. in Overland Park, Kansas, United States
Job Description
Finance
Sr Manager - Data Science & Modeling
177931BR
Job Description
Credit Risk organization at T-Mobile is not your typical Financial Services Credit Risk team - it is the team that disrupts and innovates in Credit Risk strategies in support of the UNCARRIER mission!!!
We are looking for an individual with a superior blend of Business, Credit Risk modeling skills, Data Science background, advanced presentation skills, solid Credit Risk experience and People skills. You will work closely with the Credit Risk 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 using ML/AI approaches.
You will also be leading a team of credit risk analysts (6+ Risk Modelers/Data Science professionals) with broad people management responsibilities focused on talent development and retention. You will be expected to be a hands-on leader and develop talent in your team through leadership-by-example and coaching.
You and your team will own and be responsible for developing & maintaining Credit Risk models to support various segments of the customer base. You will partner with other functional teams in T-Mobile for deployment, tracking and governance of Credit Risk models and providing read outs to leadership based on model performance insights & analytics.
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.
Functional Group
Finance
Location
KS502-KS-Headquarters, Building 6160 OP
Location Address
6160 Sprint Pkwy
City
Overland Park
State
Kansas
Zip
66251
Travel Required?
No
Responsibilities
Hiring & leading a growing team of Credit Risk Analysts (Risk Modelers/Data Science professionals), while building a strong culture around results and values with a focus on talent development and retention
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 & monitor Credit Risk models including but not limited to Behavior scores, Churn models, Portfolio and Collections optimization models, Propensity models (growth, payment), while understanding the impact on losses and profitability.
Perform a leading role on model development, governance, working closely with team and corporate stakeholders to understand key business issues
Lead the team to solve complex customer behavior problems using Data Science/Machine Learning/AI approaches such as NLP.
Qualifications
7+ years of Quantitative Analytics experience
4+ years of Credit risk model development experience
3+ year of experience managing teams of quantitative analysts/data scientists
Bachelor's in Finance, Economics, Mathematics. Statistics or related degree required. Master's Degree or PhD in Analytics, Data Science, Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree preferred
Solid hands-on experience in SAS or other statistical/analytical model building/programming languages
Intermediate or higher proficiency in SQL, Python, R or other machine learning software a plus
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
Strong financial service, Credit Risk modeling, Optimization experience
Wireless / Telecom experience a plus
#LI-AE1
Minimum Qualifications
At least 18 years of age
Legally authorized to work in the United States
Bachelor's Degree
T-Mobile requires all employees in this position to be fully vaccinated for COVID-19 prior to starting work. The CDC defines "fully vaccinated" as two weeks after the second dose... For full info follow application link.
EOE Statement
We Take Equal Opportunity Seriously - By Choice
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital 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 or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law.
