Credit Risk Oversight Lead — 2LOD Analytics

SoFi; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

SoFi Technologies, Inc. is seeking a 2LOD Senior Risk Analyst in New York to advance a robust Credit Risk Oversight function. You will perform credit, behavioral, and financial analytics to assess risks and opportunities for various lending products, and translate findings into actionable recommendations.

You will leverage SQL, Python, R, and SAS to analyze data, monitor loss trends, and influence risk policies. This role requires collaboration across departments in a fast-paced environment.

Qualifications

• 8+ years of Credit Risk Analytics experience in a related industry.
• Understanding of lending regulations as they apply to credit risk.
• Strong analytical and problem-solving skills with structured reasoning.
• Excellent verbal, written and presentation skills to influence change.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Provide analytical support for data-driven insight generation and risk assessment.
• Generate insights, design analytics, and deliver visualizations to influence decisions.
• Monitor credit risk KPIs, roll rates, and delinquency trends across portfolios.
• Review KPIs/KRIs and evaluate policy effectiveness; communicate trends to management.
• Build compelling data visualizations and distill information clearly.

Skills

SQL

Python

R

SAS

Tableau

Credit risk analytics

Regulatory knowledge

Data mining

Analytical thinking

Communication

Presentation skills

Education

Bachelor's degree in quantitative discipline

Master's degree preferred

Tools

SQL

Python

R

SAS

Tableau

Job description

SoFi Technologies, Inc. is seeking a 2LOD Senior Risk Analyst in New York to advance a robust Credit Risk Oversight function. You will perform credit, behavioral, and financial analytics to assess risks and opportunities for various lending products, and translate findings into actionable recommendations.

You will leverage SQL, Python, R, and SAS to analyze data, monitor loss trends, and influence risk policies. This role requires collaboration across departments in a fast-paced environment.