We have partnered with a well established Fintech firm growing their Analytics Team

This is a great opportunity to interact with senior level decision makers and join a newly created team.

Experience working for a financial Services firm required

Individual will be responsible for leading and conducting key analyses and statistical modeling and collaborate with multiple departments including credit risk, and marketing.

Job Role:

• Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets
• Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity
• Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models leading to new innovative origination strategies within marketing, sales, finance, and underwriting
• Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy
• Present modeling and data analysis to management and other business partners

Requirements:

• M.S. degree or higher in Statistics, Math, Data Science, Computer Science, or equivalent quantitative field
• Extensive experience building predictive models (including linear and logistic regression, decision trees, random forest, and gradient boosting) in R, Python, or SAS
• 5-10 years of statistical modeling experience within the financial services industry
• Advanced knowledge of SQL and experience working with databases

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