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Jobtailor

Lead Data Scientist – Hybrid

chicago, IL

Check who can apply and the requirements below before continuing.

About this opportunity

Jobtailor lists this Lead Data Scientist – Hybrid opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Develop, enhance, and test company models for lending criteria and verification procedures

Lead and perform independent validation of credit risk models

Evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data and assumptions, and output reasonableness

Conduct ad hoc statistical and financial analyses for risk management, marketing, and operational strategies

Interpret, organize, and communicate data effectively to cross-functional teams

Provide technical guidance and mentorship to team members

Prepare model validation reports and technical documentation

Interact with model stakeholders and business partners to gather information and provide effective challenge

Support model releases into production

Monitor model performance dashboards, build alerts, and **escalate concerns**

Improve model validation methodologies, processes, and governance through automation and custom tools

Requirements

Experience in developing and/or independently validating advanced credit risk models

5+ years of experience in quantitative analysis in the financial services industry and experience leading complex analytical or model validation projects is preferred

Strong knowledge of statistical models and methodologies used in risk management

Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis

Experience working with relational databases, such as SQL

Demonstrated ability to provide technical guidance and communicate complex quantitative concepts to technical and non-technical stakeholders

Eligible to work in the United States; visa sponsorship is not available

Core Competencies

Demonstrates expertise in developing and validating advanced credit risk models, utilizing strong programming skills in Python and SQL for data analysis. Capable of effectively communicating complex quantitative concepts to diverse stakeholders while leading model validation projects.

Highest-signal resume keywords

Advanced Credit Risk Model Development

Quantitative Analysis in Financial Services

Statistical Models and Methodologies

Python Programming for Data Analysis

SQL Database Management

Hard Skills

Credit Risk Model Validation

Statistical Analysis

Data Interpretation

Model Performance Monitoring

Model Validation Methodologies

Soft Skills

Technical Guidance

Effective Communication

Mentorship

Cross-Functional Collaboration

Industry Keywords

Financial Services

Risk Management

Quantitative Analysis

Model Governance

Tools & Technologies

Python

SQL

Model Performance Dashboards

Automation Tools

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Worksite address

chicago, IL, 60290, US

Who can apply

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