Data Science Manager

Summary: We are partnered with a rapidly growing member-owned credit union to help bring on an experienced data science manager. This firm seeks to create financial solutions that positively impacts customer's lives through technology driven online banking.

This position will join a high-level team that is responsible for the use of machine learning and model development for credit risk. Leveraging data science and complex statistical analysis/modeling, the team drives strategy across pricing, scorecards and portfolio management.

Location:

• Fully remote position, 1-2 days a month for travel to Chicago, IL

Responsibilities:

• Set and execute project plan for the advanced analytics team and partner with technology team to develop and execute strategy on data management and model implementation.
• Manage the advanced analytics team to solve business problems and support business and risk strategic objectives.
• Lead data scientists and data analysts to deliver end-to-end model development and analytics projects throughout loan life cycle management (i.e. acquisition, origination, account management and collection).
• Provide guidance and perform advanced data analytics (e.g. data mining, statistical analysis, predictive analytics), and develop, document, and support the deployment of quantitative models, which are used for decision and product management through member life-cycle including acquisition, activation, utilization, relationship deepening and retention.
• The risk analytics projects may include but not be limited to automated credit decision, risk rating models, pricing models, loan loss forecasting, as well as CECL models and validation.

Qualifications:

• Masters/PhD in Quantitative degree
• 8+ years of data analytics and modeling experience in the financial services industry, required; consumer lending experience, preferred
• Experience with full cycle model development and project delivery
• Hands-on work experience on building and deploying decision models that are used for one or more of the areas in credit risk, collections, marketing, or fraud
• Expert knowledge in one of the statistical programming languages such as Python or R, and database languages such as SQL
• Basic knowledge on lending, credit risk measures (PD, LGD and EAD)

If you're interested in our Senior Quantitative Risk Analyst role, please don't hesitate to reach out to me at