Senior Credit Risk Analyst

Purpose Financial; Greenville (SC); Ibrido; USD 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work environment

401(k) with company match

Paid parental leave

Wellness and Employee Assistance

Descrizione del lavoro

Purpose Financial is seeking a Senior Credit Risk Analyst in Greenville, SC to own the LOC analytics agenda, from acquisition scoring to loss forecasting, with a focus on responsible growth. You will collaborate with Finance, Product, Digital Operations, Collections, and Compliance, presenting insights to leadership and mentoring analysts.

The role requires 3–5+ years in credit risk analytics, strong Python/SQL skills, and experience deploying production risk models. Hybrid work is offered.

Competenze

• 3–5+ years in credit risk analytics or modeling in consumer lending.
• Hands-on production credit risk modeling experience.
• Strong SQL skills with large, complex datasets.
• Familiarity with ECOA, Reg B, FCRA, fair lending, UDAAP, SR 11-7.
• Experience with revolving or line-based products (LOC, credit cards).
• Non-prime or subprime lending experience is advantageous.
• Ability to communicate findings clearly to executives.

Mansioni

• Own the credit risk analytics agenda for the LOC portfolio end-to-end.
• Partner with Finance, Product, Digital Operations, Collections, and Compliance.
• Present findings to senior leadership and mentor junior team members.
• Build, validate, and deploy machine learning and statistical models for the LOC lifecycle.
• Design champion/challenger tests to optimize line assignment and credit terms.
• Produce loss forecasts using vintage analysis, roll rates, and survival modeling.
• Translate complex analysis into actionable business recommendations.
• Support model risk management, internal validation, and regulatory review.

Conoscenze

Credit risk analytics

SQL

Communication to executives

Machine learning modeling

Model deployment

Formazione

Bachelor's degree in Statistics, Economics, Mathematics, CS, Engineering

Advanced degree preferred

Strumenti

Python

Pandas

NumPy

scikit-learn

XGBoost/LightGBM

SHAP

Descrizione del lavoro

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 Credit Risk Analyst to help shape what that future looks like — with data, with insight, and with purpose.

What You'll Do

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

What You'll Bring

• 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

Why Purpose Financial?

Because working here is far beyond a job.

We're a Certified Great Place to Work — and our people will tell you why. We're a company where belonging is real, development is intentional, and the work you do makes a difference in people's lives every single day.

We offer:

• Competitive compensation
• 401(k) with company match
• Paid parental leave
• 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

Purpose Financial will not provide sponsorship for employment-based visas or immigration benefits for this position. Applicants must be legally authorized to work in the United States without requiring immigration sponsorship now or in the future.

Current or future (next 10 years) immigration sponsorship includes, for example: H-1B, E-3, TN, O-1, CPT, STEM OPT, or any immigration work authorization requiring a written submission from the company to a government agency or otherwise requiring the entry of the company as your immigration employer of record in government records.

Purpose Financial is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Purpose Financial reserves the right to modify this job description at any time. This posting is not an employment contract.

#Hiring #CreditRisk #MachineLearning #FinancialServices