Analyze credit data to determine risk and provide management with informed and well-defended recommendations.
Predict consumer patterns and trends through python and statistical models.
Modify and operate strategies in the internal decision-making system, including generate paths or flows to support new functions and implement models and underwriting rules.
Develop and improve internal server and maintain loan performance analytical tool website.
Provide analytical expertise to support all financial products for on-going and ad-hoc projects.
Minimum requirements:
Master’s Degree in Statistics, Mathematics, Data Science, or other quantitative fields.
Minimum of 1+ year of industry experience in risk management, analytics, data related function preferably at a financial institution.
Experience with SQL and Python.
Demonstrated ability in applying analytics to drive credit product profitability.
Strong communication and interpersonal skills with the ability to present conclusions across a wide range of audiences.
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