A leading consumer lending organization is seeking a Vice President, Data Science which will require the individual to drive the enhancement of the Data Science program inclusive of developing and building a team to develop and execute Risk Analytics & Modeling functions for the organization. Individuals must have a strong technical knowledge within the credit risk space, spanning Analytics, Credit Strategy, and Reporting. Additionally the ideal candidate will have experience leading data science and credit risk modeling teams.
The VP Data Science will be responsible forโฆ
- Leading, training and mentoring a team of data scientists, engineers and analysts
- Act as an advisory figure for business lines, relaying analytical findings and helping to achieve strategic organizational goals
- Partner with key stakeholder and develop key relationships with working groups such as model owners, users, and business leaders to ensure effective coverage for the analytics program
- Identify goals to increase profitability and customer satisfaction for the organization
- Experience working with big data, cloud-based environments and Agile methodologies
- Influence and work cross-functionally with teams in IT, Operations, Collections and Finance
- Working with internal/external clients to understand strategic business questions
- Leverage big data, provide analytic techniques and business applications
- Managing a team and act as a leader to the organization by being involved in senior-level meetings, mentoring junior members of the group, and acting as a subject matter expert to other areas of the business.
The VP Data Science should have the following qualificationsโฆ
- Masters or Ph.D. in Mathematics, Economics, Statistics or similar Quantitative Discipline
- Extensive experience with Model Validation or Development
- Advanced understanding of languages such as R, Python, SAS, SQL, C++ and Matlab
- Experience with Machine Learning Algorithms
- 10+ years of experience in an analytical or strategic role with experience managing an analytical team/having direct reports
- Ability to manage large teams and projects
- Strong written and oral communication skills with an ability to influence others
- Strong understanding of risk management principles across the entire credit lifecycle
- Strong analytical/technical skillset
