Analytic Science, Senior Director

The Opportunity

“This position is responsible for providing analytic support and development of FICO Score products in the U.S. and Canada markets. including representing the Company in discussions and presentations externally, including with customers, partners and analysts. You will lead teams of scientists to build, validate and support powerful and explainable predictive models. There will be opportunities to elevate and showcase analytic innovation and get involved in sales activities related to the evaluation and adoption of our models." – Analytic Science – VP.

What You’ll Contribute:

• Provide thought leadership as well as day-to-day management of key analytic product support and development efforts in the Scores group, ensuring top quality work product while meeting delivery expectations.
• Partner with business development and client services teams offering technical (Analytics) expertise on risk management topics such as credit scoring, underwriting strategy definition, and alternative data sources.
• Hands-on development of predictive models, leveraging expertise with different types of predictive modeling techniques including machine learning algorithms.
• Present findings and project status to higher level management internally and evangelize our products and research findings externally in client discussions as well as presentations at industry and/or academic conferences.
• Manage relationships and expectations effectively. Ensure high level of customer service/support is provided to “customers”, whether internal or external. Respond to any technical questions from clients about our Scores products in a way that confirms deep mastery of our products as well as expertise in the credit risk modeling field more generally.
• Day-to-day analytic management of research projects aimed at developing new analytic insights and products or enhancing existing Scores products; working with IT/programming to ensure quality of data received, devising and executing research plans (often by leading teams of analysts), and leveraging the results to help define an analytic roadmap pertaining to the product in question.

What We’re Seeking

• This position requires a Master’s degree or equivalent in Mathematics, Statistics, Computer Science, or related field (or Bachelor's Degree + equivalent experience)
• Extensive experience in the financial services industry, ideally in credit risk analytics.
• Proven project management experience pertaining to the research, development, and delivery of analytic solutions.
• Experience leading cross functional teams of analysts/scientists, software developers, and business stakeholders in execution of analytic projects
• People management experience
• Strong statistical and analytic skills, including fluency with at least one statistical programming language such as SAS, R, or Python, and extensive, in field experience with the development and deployment of predictive analytics.
• Exceptional communication skills and demonstrated experience developing strategic partnerships with both internal and external stakeholders.
• Knowledge of alternative (non-traditional) credit data sources, including experience with the development of meaningful predictors off of those sources, and with optimizing the use of predictors from multiple data sources in combination with each other to drive predictive and robust models (Preferred).

Our Offer to You

• An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
• The opportunity to make an impact and develop professionally by leveraging your unique strengths to advance industry leading predictive analytics such as the FICO Score
• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
• An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
• The targeted base pay range for this role is: $188,000 to $295,000 with this range reflecting differences in candidate knowledge, skills and experience.