Senior Staff Decision Scientist (Multiple Positions) (9673708) at Flex

<p><span style="text-decoration: underline;">EMPLOYER:</span>&nbsp; Flexible Finance, Inc.<br><br><span style="text-decoration: underline;">TITLE:</span>&nbsp; Senior Staff Decision Scientist (Multiple Positions) (9673708)<br><br><span style="text-decoration: underline;">LOCATION:</span>&nbsp; New York, NY - Remote work permitted from any location in the U.S.<br><br></p> <p><span style="text-decoration: underline;">DUTIES:&nbsp;</span><br><br>Shape the design of new credit products, while developing their risk policies and launch strategies&nbsp;to ensure successful market entry. Collaborate cross-functionally with diverse teams to maximize&nbsp;customer lifetime value (LTV), manage financial risk, and drive sustained business growth. Analyze large, complex datasets to solve a wide range of business challenges using advanced analytical and statistical techniques. Develop and implement forecasting models to predict key&nbsp;performance metrics and assess their actual performance. Apply quantitative analysis, data&nbsp;mining, experimentation, and forecasting to support data-driven decision-making and strategic&nbsp;direction. Partner with Product, Engineering, Finance, Operations, and Data Science teams to&nbsp;deliver actionable insights. Build sophisticated reporting and analytics tools that will enable real-time, data-driven decision-making for key stakeholders. Design and develop metrics and&nbsp;dimensions to track and evaluate product and business performance. Present findings and&nbsp;recommendations to stakeholders, including senior leadership, in clear and concise formats.<br><br><br><span style="text-decoration: underline;">REQTS:</span> <br><br>Must have a Bachelor’s degree or foreign equivalent in Statistics, Economics, Risk Management,&nbsp;Mathematics, or a related field plus six (6) years of experience with credit risk analytics in the&nbsp;position offered, as a Data Science Analyst, Data Science Manager, or a related position. Must&nbsp;have six (6) years of experience with all of the following: Developing data mining and analytics&nbsp;workflows using Python and SQL; Performing portfolio vintage forecasting, CCAR modeling,&nbsp;roll rate forecasting, and delinquency forecasting; Conducting sensitivity analyses and scenario&nbsp;modeling to evaluate financial impact of credit strategy changes and stress conditions; Extracting,&nbsp;transforming, and analyzing large-scale financial data using relational databases including&nbsp;Snowflake and MySQL; Designing and implementing segmentation strategies through decision&nbsp;tree models, clustering algorithms, and logistic regression for credit risk stratification; Designing<br>and executing controlled experiments (A/B testing and champion-challenger frameworks) to&nbsp;evaluate product and policy effectiveness; and Creating and maintaining dashboards and&nbsp;interactive reports with data visualization tools including Tableau, Sigma, and Google Data&nbsp;Studio to monitor credit performance.<br><br><span style="text-decoration: underline;">HOURS:</span> Full Time;&nbsp; Mon-Fri (40 hrs/week)<br><br><span style="text-decoration: underline;">WAGE RANGE:</span>&nbsp; $215,000 - $240,000 per year<br><br></p>