Modeling Analytics

CTB1LLC, a boutique talent and placement company; United States; On-site; USD 90,000 - 115,000; Full time

Job summary

A boutique talent and placement company is seeking an experienced Analyst to join their research team in New York. You will develop credit and risk models, build statistical forecasting tools, and work with loan analytics. The ideal candidate has over 5 years of analytics experience, strong programming skills, and a relevant degree. This full-time role offers a salary between $90,000 and $115,000.

Qualifications

• 5+ years of experience working in loan level analytics, preferably in fintech or credit lending.
• Experience with quantitative modeling techniques.
• Strong programming skills, with a preference for Python.

Responsibilities

• Develop credit and risk models using loan and bureau level data.
• Build forecasting and stress-testing models.
• Create monitoring tools for loan portfolio performance.

Skills

loan level analytics

quantitative modeling

programming (Python, R, SAS, SQL)

statistical modeling

research modeling techniques

Education

Bachelor's in math, economics, engineering, data science

Master's degree

Job description

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Join the research team! Build statistical models for valuing mortgage and consumer loans - analyzing loan performance, design credit risk strategies, and build data pipelines that support underwriting, pricing, and monitoring across the business.

Key Responsibilities

• Develop credit and risk models using loan‑and bureau‑level data to drive underwriting and ABS pricing
• Build forecasting and stress‑testing models to assess macroeconomic impacts
• Create monitoring tools and early warning systems for loan portfolio performance
• Establish data feeds and dashboards for loan applications, decisions, and outcomes
• Enhance and maintain credit risk strategies and origination policies for emerging consumer lending

Qualifications

• 5+ years of experience working in loan level analytics (preferably with a fintech or credit lender)
• Experience with quantitative modeling (e.g., gradient boosting, statistical forecasting)
• Strong programming skills (Python preferred; R, SAS, SQL also relevant)
• Experience with statistical modeling (regression, gradient boosting, random forests, etc.)
• Curiosity to research and apply cutting‑edge modeling techniques
• Bachelor's in math, economics, engineering, data science, or related field (Master's preferred)

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Analyst

New York, NY $90,000.00-$115,000.00 3 days ago