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 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
• 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

Purpose Financial is looking for a Data Scientist to join our Data Science team to detect fraudulent applications, identify emerging fraud trends, and work with cross-functional teams to implement solutions to prevent future fraudulent activity. The ideal candidate will have a strong understanding of data analytics and predictive modeling. The ideal candidate will be comfortable working with large data sets. This role works closely with management to perform analysis and help make informed decisions about fraud mitigation and managing the risks. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested.

Job Responsibility

• Develop and implement advanced statistical and machine learning models leveraged through the customer lifecycle with a focus on fraud mitigation.
• Evaluate the performance of existing models and design experiments to improve model performance via champion/challenger tests.
• Discover insights from additional data sources to understand/influence consumer financial behavior and continue to enhance machine learning models as additional data becomes available.
• Develop automated processes and procedures to streamline data analysis and reporting. Monitor trends in relevant KPIs (key performance indicators) and report on key insights on a regular basis.
• “Ad-Hoc” analysis as assigned.
• Understand, adhere to, and enforce all corporate policies.

Job Responsibilities Cont.

Education Required

Bachelor’s Degree in Computer Science, Economics, Engineering, Mathematics, Statistics, or a related quantitative field. (Advanced Degree preferred.)

Experience Required

• 1 – 2 years of experience working in an analytical role in banking, finance, or retail.
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