Analytic Science, Senior Director Job at FICO

FICO is hiring for the role of Analytic Science, Senior Director!

Responsibilities of the Candidate:

• Own the development of analytic features that enhance and empower consumer understanding of the FICO Score, including ensuring top quality work product while meeting delivery expectations.
• Provide thought leadership as well as day-to-day management of key analytic product support and development efforts in the Scores group
• Present findings and project status to higher level management
• 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

Requirements:

• 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).