Lead Data Scientist – Hybrid

Jobtailor

Chicago (IL)

On-site

USD 120,000 - 180,000

Full time

37 hours ago
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Job summary

Jobtailor in Chicago, IL is seeking a senior quantitative professional to develop, validate, and monitor credit risk models. You will lead independent validation, assess conceptual soundness, and produce technical reports for stakeholders.

The role requires advanced Python and SQL skills, strong communication to technical and non-technical teams, mentorship, and the ability to automate validation processes.

Qualifications

  • Experience developing and independently validating advanced credit risk models.
  • 5+ years in quantitative analysis in financial services; leading complex validation projects preferred.
  • Strong knowledge of statistical models and methodologies used in risk management.
  • Advanced programming skills in Python and ability to write customized data analysis programs.
  • Experience with relational databases and SQL.

Responsibilities

  • Develop, enhance, and test credit risk models for lending criteria and verification procedures.
  • Lead and perform independent validation of credit risk models.
  • Evaluate model fit, conceptual soundness, and data assumptions.

Skills

Advanced credit risk
Quantitative analysis
Model governance
Cross-functional communication
Mentorship

Tools

Python
SQL
Model dashboards
Automation tools

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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