Lead Data Scientist

Key Skills

Analytical and Problem solving, Data Modeling, Data science techniques, Effective communication skills, Leadership, Machine learning techniques, Python Programming, R Programming, SQL, Statistics

Job Description

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
• Life/Health Benefits
• 401(k) Savings Plan
• Educational Assistance
• Paid Vacation/Holidays
• Employee Discounts
• Work-life Balance
• Business Casual Environment
• Paid Volunteer time off
• Rewards and Recognition Program
• EAP

Position Summary

Purpose Financial is seeking an experienced Lead Data Scientist to join our Data Science team to help manage our lending portfolio. The ideal candidate will have a comprehensive understanding of the line of credit lifecycle business and work closely with a team of data scientists and analysts. The primary duties will include constructing and deploying stochastic and deterministic models to support the company's profitability, performance analysis, test/control strategies, and other lending decisions. Furthermore, the role will involve mentoring and guiding junior analysts. The successful candidate must have the capacity to adapt to change quickly and fulfill all assigned and requested responsibilities.

Job Responsibility

• Manage the 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.
• Provide technical leadership and guidance to the data science team, ensuring high-quality output and adherence to best practices.
• Monitor consumer loan portfolio and optimize 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 designs experiments to enable longer term optimization of decisions, line assignment, and offer terms across our menu of financial products and customer segments.
• Collaborate with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy.
• Stay up to date with the latest developments in data science and machine learning and evaluate how they can be applied to enhance our lending processes

Job Responsibilities Cont.

Education Required

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

Experience Required

Three (3) years of experience working in data-science or a related field, with a focus on credit risk management.

Knowledge Required

• Experience in lending and line of credit is essential.
• Proficiency in R/Python, SQL, or another analytical tool is a must.
• Experience in building stochastic models.
• Strong knowledge of data modeling, machine learning, and statistical techniques.
• Comfortable with solving complex problems, working with computers and technology, and using higher level mathematics. Ability to combine data from multiple sources and manipulate to analyze and interpret business performance.
• Excellent written and verbal communications skills as would be needed to communicate in person, by phone, and through email. Ability to quickly learn all technology needed to perform the role.

Physical Requirements

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.