Sr Manager , Data Science & Modeling

Key Skills

Data Modeling, Data science techniques, Data Visualization, Finance, Java Programming, Machine learning techniques, Management, Mathematics, Microsoft-Excel, Natural Language Processing (NLP), Powerpoint, Python Programming, R Programming, Risk Analytics, SAS, SQL

Job Description

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!

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.

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-Corporate

• 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 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 applicants 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.