Director, Data Science

Purpose Financial • Greenville, South Carolina, United States • $101.24k - $164.17k / year • 1m ago

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 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 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
Paid Parental Leave
Company Paid Holidays
Paid Time Off including Volunteer Time
Tuition Reimbursement
Business Casual Environment
Rewards & Recognition Program
Employee Assistance Program
Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

To learn more about Purpose Financial visit Purpose Financial Website.

Position Summary

This position reports to the Executive 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 will manage both people and data science processes.

Job Responsibility

Mange the initiation, development, and implementation of advanced 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.
Collaborate with Finance and Business Intelligence to build and improve monitoring of portfolio KPIs and product strategy.
Accountability - Understand, adhere to and enforce all corporate policies.

Job Responsibilities Cont.

Education Required

Master’s Degree in Quantitative Field (Engineering, Statistics, Mathematics, Economics, or another 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 5 years of supervisory experience managing subordinates.

Knowledge Required

Prior work experience with R, Python, SQL, or another analytical tool.
Strong analytical skills and experience with data analytics tools such as SQL, Python, or R
Direct experience in data quality, ELT, and feature engineering for fraud mitigation or identification
Knowledge of credit risk & mathematical modeling techniques in the consumer lending space, including use of modeling with machine learning techniques, artificial intelligence, or similar processes
Strong leadership skills with the ability to manage a team effectively.
Ability to work independently and manage multiple projects simultaneously.
Advanced understanding of statistical principles (p-value, etc.).
Comfortable with solving complex problems, working with computers and technology, and using higher level mathematics.
Adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment.
Ability to read, write, evaluate, and apply information.
Ability to interact professionally and exhibit appropriate social skills.
Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Ability to develop and maintain business relationships.
Ability to quickly learn all technology needed to perform the role.
Prior coursework in advanced mathematics, computer programming, economics, and operations research would be beneficial.

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.

Competencies

Achieve Desired Results
Analysis/Problem Solving
Customer Commitment
Vision-Driven
Action-Oriented
Purpose-Driven
OKR

Travel

0-10%

Attire

Business Casual

Other

Must be eligible to work in the USA and able to pass a background check.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Requisition ID: 45546

#INDPA

Work Location: In person