Degree in Computer Engineering
Credit Risk, Data science techniques, Machine learning techniques, Microsoft-Excel, Natural Language Processing (NLP), Python Programming, R Programming, SAS, SQL
We are looking for an individual with a superior blend of credit risk knowledge, data science skills, predictive modeling expertise, advanced presentation ability, and stakeholder management skills. You 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.
You and your team will own and be responsible for design, development and maintenance of Credit Risk attributes and models to support both consumer and TfB credit risk decision throughout the customer credit lifecycle. You will partner with other functional teams in T-Mobile for deployment, tracking 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.
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