Senior Data Scientist

Purpose Financial
Greenville, SC, United States
1 day ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Big Data Database Queries Python (Programming Language) Machine Learning NumPy Pandas Scikit Learn Information Technology Xgboost

Job description

This isn’t just a modeling role. It’s an opportunity to own the credit risk analytics agenda for our Line of Credit (LOC) portfolio - end to end. From acquisition scoring and line management to loss forecasting and portfolio performance, your work will directly influence how we serve our customers and grow our business responsibly.

You’ll partner with Finance, Product, Digital Operations, Collections, and Compliance - and you’ll present your findings to senior leadership. You’ll mentor junior team members. And you’ll do it all in a place where your contributions truly matter.

Your day-to-day will include:

  • Building, validating, and deploying machine learning and statistical models across the LOC customer lifecycle
  • Designing champion/challenger tests to optimize line assignment, offer terms, and credit policy
  • Producing and defending loss forecasts using vintage analysis, roll rates, and survival modeling techniques
  • Translating complex analysis into clear, actionable business recommendations
  • Supporting model risk management, internal validation, and regulatory review
  • Mentoring and developing junior data scientists and analysts

Requirements

  • Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Engineering, or a related quantitative field - advanced degree strongly preferred
  • 3-5+ years of credit risk analytics or modeling experience in consumer lending
  • Hands-on experience building and deploying production credit risk models (Python preferred - Pandas, NumPy, scikit-learn, XGBoost/LightGBM, SHAP)
  • Strong SQL skills and comfort working with large, complex datasets
  • Solid understanding of credit fundamentals: PD, EAD, LGD, roll rates, and vintage analysis
  • Familiarity with ECOA, Reg B, FCRA, fair lending, UDAAP, and SR 11-7
  • Experience with revolving or line-based products (LOC, credit cards) is strongly preferred
  • Non-prime or subprime lending experience is a significant advantage
  • The ability to communicate technical findings clearly to executive audiences

Benefits & conditions

  • Competitive compensation
  • Comprehensive health, dental, and vision benefits
  • 401(k) with company match
  • Paid parental leave
  • Generous PTO + volunteer days
  • Tuition reimbursement
  • Hybrid work environment
  • Wellness and Employee Assistance Programs
  • A culture rooted in nine core values - not just posted on a wall, but lived every day

About the company

At Purpose Financial, everything we do starts with people - our customers, our communities, and our team. For more than 25 years, we’ve helped millions of hardworking people find real financial solutions and build a more stable future. Now, we’re looking for a Senior Data Scientist, Credit Risk to help shape what that future looks like - with data, with insight, and with purpose.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:04 min

Scaling data infrastructure for a rapidly growing fintech platform

Max Fischer Max Fischer +1 · World Congress 2026 Europe

1:09 min

Configuring synthetic data for safe interactive programming

Mingshen Sun Mingshen Sun · World Congress 2024

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

9:47 min

Transforming tabular metrics into meaningful business value dashboards

Boris Krumrey +2 · LIVE

Videos

See all

Related articles

See all