Data Scientist I, MIRS

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

• 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

Requirements

• Bachelor's degree or foreign equivalent and 1 year of experience, or Master's degree or foreign equivalent and 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
• Ability to learn financial analysis of structured mortgage products
• Strong work ethic and independent problem-solving capabilities
• High level of motivation and intellectual curiosity
• Ability to work in a team environment
• Ability to research and define new analytical methods
• Ability to communicate effectively and present results
• Certifications in Finance, Economics, Mathematics and/or Statistics

Core Competencies

Demonstrates expertise in programming for model estimation and implementation, with strong analytical skills to evaluate credit risk and performance. Proficient in Python and familiar with SAS and R for data analysis, with a solid foundation in mathematical and statistical methodologies.

Highest-signal resume keywords

• Python Programming
• Statistical Analysis
• Model Development
• Data Manipulation
• Financial Analysis

ATS Optimization Keywords

Hard Skills

• Model Estimation
• Cloud-Based Modeling
• Probability Modeling
• Econometric Understanding
• Data Analysis
• Analytical Presentations
• Trend Identification
• Credit Risk Assessment
• Delinquency Modeling
• Prepayment Modeling

Soft Skills

• Independent Problem-Solving
• Team Collaboration
• Effective Communication
• Intellectual Curiosity
• Strong Work Ethic

Certifications & Qualifications

• Finance Certification
• Economics Certification
• Mathematics Certification
• Statistics Certification

Industry Keywords

• Credit Structures
• Risk-Sharing Arrangements
• Structured Mortgage Products
• Model Performance Analysis
• Analytical Methods Research

Tools & Technologies

• SAS
• R
• C++
• Cloud Frameworks
• Analytical Tools