Sr. Manager, Data Scientist

Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601   

 

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future.  Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 1,000 storefronts locations and online lending.  Providing services in over 20 states, Purpose Financial employs over 2,700 team members.

At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.

We offer:

• Competitive Wages
• Health/Life Benefits
• Health Savings Account plus Employer Seed
• 401(k) Savings Plan with Company Match
• 3 Weeks of Paid Parental Leave
• 11 Company Paid Holiday's
• Paid Time Off including Volunteer Time
• Vacation Carryover
• Tuition Reimbursement
• Work-Life Balance
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid)

To learn more about Purpose Financial visit Purpose Financial Website.

 

Position Summary

This position reports to the Vice President, Data Science, and is responsible for managing the team that builds and creates stochastic and deterministic models for use across the company, profitability, performance analysis, developing test/control strategies, and training subordinates on data science models and processes. This role is both a technical and managerial role whereby the candidate performs analysis and prepares data as well as serves as a mentor to both analysts and data science managers. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested. This role is a highly technical role.  This is an experienced level manager role. Prior experience managing a team is necessary.

This role is a Sr. Manager data scientist.  It will manage both people and data science processes.

Job Responsibility

• Mange the initiation, development, and implementation of advance statistical and machine learning models across the customer lifecycle to include customer acquisition, onboarding (operational processes), credit underwriting, product optimization, and collections.
• Manages, mentors, and trains small team of junior modelers with model design, construction, implementation, monitoring, and delivering model results to leadership.
• Monitors and synthesizes new insights from consumer loan portfolio and optimization of profit-based risk management decisions, at all stages of the customer credit life cycle, including (but not limited to) new customer acquisition, underwriting, conversion, collections, and retention.
• Independently manages and designs experiments to enable longer term optimization of decisions, line assignment, while offering terms across our menu of financial products and customer segments.
• Works with multiple external agencies to assess and evaluate new data sources and “Ad-Hoc” analysis as assigned.
• Collaborates with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy.

Job Responsibilities Cont.

Education Required

Master’s Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or other comparable quantitative field) preferred. Bachelor’s Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or another comparable quantitative field) required.

Experience Required

6 - 8 years of experience working in an analytical role in banking, finance, or retail plus 2 - 3 years of supervisory experience managing subordinates.

Knowledge Required

Prior work experience with R, Python, SQL, or another analytical tool.  Excellent written and verbal communications skills; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.Strong written and verbal communication skills. Basic understanding of statistical principals (p-value, etc.). Comfortable with solving complex problems, working with computers and technology, and using higher level mathematics. Excell