Junior Data Scientist, Mortgage Risk & Modeling (Cloud)

Jobtailor; New York (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor in New York seeks a quantitative modeler to support estimation, implementation, and back testing of credit risk models. You will develop cloud-based modeling frameworks and generate analytical presentations for management.

The role requires strong Python, SAS, or R skills, statistical and econometric expertise, and the ability to translate complex analyses into actionable business recommendations. Collaboration with teams and independent problem solving are essential.

Qualifications

• Bachelor's degree or foreign equivalent with 1 year of experience, or Master's degree or foreign equivalent with no work experience.
• Expert mathematical, statistical, and econometric understanding.
• Understanding of probability modeling.
• Strong analytical background and ability to make transaction recommendations using sound business judgment.
• Practical proficiency in Python.
• Working knowledge of SAS, R, or C++ for data analysis and modeling.
• Certifications in Finance, Economics, Mathematics and/or Statistics.

Responsibilities

• Perform programming supporting model estimation, implementation, monitoring, and back testing.
• Develop and maintain cloud-based modeling frameworks.
• Analyze standard reporting and model performance.
• Estimate and design delinquency, default, prepayment, and claim severity models.
• Conduct model development and methodology research.
• Create analytical presentations and communicate strategic business findings to management.
• Analyze and recommend alternative credit structures, risk-sharing arrangements, and non-traditional approaches to credit risk.
• Manipulate large Python, SAS, or R datasets to identify trends and recommend adjustments to credit and portfolio guidelines.
• Perform other duties as assigned or apparent.

Skills

Python

Statistics

Econometrics

Data analysis

Analytical thinking

Problem solving

Communication

Education

Bachelor's degree or foreign equivalent

Master's degree or foreign equivalent

Tools

SAS

R

C++

Cloud frameworks

Analytical tools

Job description

Jobtailor in New York seeks a quantitative modeler to support estimation, implementation, and back testing of credit risk models. You will develop cloud-based modeling frameworks and generate analytical presentations for management.

The role requires strong Python, SAS, or R skills, statistical and econometric expertise, and the ability to translate complex analyses into actionable business recommendations. Collaboration with teams and independent problem solving are essential.