Credit Model Development Expert

Jobtailor; Connecticut; On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in Connecticut seeks an experienced Quantitative Analyst to independently develop and manage behavioral models for credit, interest rate, and liquidity risk. You will work on large datasets, run regressions, and deliver production-ready models to stakeholders.

The ideal candidate has a Bachelor's degree and at least 6 years of modeling experience, with strong Python and SQL Server skills, plus a proven ability to communicate complex results clearly in writing and presentations.

Qualifications

• Bachelor’s degree and at least 6 years of quantitative behavioral modeling experience.
• Credit model development and regression analysis experience required (logistic and linear).
• 6+ years with Python and SQL Server Management Studio; experience handling large datasets and communicating results.

Responsibilities

• Develops, implements, maintains, analyzes and manages quantitative/econometric behavioral models for credit risk, interest rate risk and liquidity risk management.
• Leads research and development of quantitative behavioral models used for risk management.
• Prepares and analyzes large financial data sets for statistical analysis using SQL or similar tools.
• Runs regressions (time series and logistic) and programming routines to specify models.
• Executes models in production and communicates results to stakeholders.
• Tracks portfolio, model and risk strategy performance.

Skills

Python

SQL

Statistical modeling

Time series

Communication

Education

Bachelor's degree

Tools

SQL Server Management Studio

Job description

Responsibilities

• Independently develops, implements, maintains, analyzes and manages quantitative/econometric behavioral models used for credit risk, interest rate risk and liquidity risk management, as well as balance sheet and capital planning.
• Lead research and development of quantitative behavioral models used for credit risk, interest rate risk and liquidity risk management.
• Prepare, manage and analyze large customer loan, deposit or financial data sets for statistical analysis in Structured Query Language (SQL) or similar tool.
• Run regressions (including time series and logistic regression), programming routines and other econometric analyses to specify models using appropriate statistical software.
• Execute models in production environment; communicate analytical results to Bank-wide stakeholders.
• Track portfolio performance, model performance, campaign tracking and risk strategy results.

Requirements

• Bachelor’s degree and a minimum of 6 years’ proven quantitative behavioral modeling experience.
• Credit model development experience.
• Logistic Regression AND Linear Regression experience required.
• Minimum of 6 years’ on-the-job experience with pertinent statistical software packages, including Python experience (mandatory).
• Minimum of 6 years’ on-the-job experience with data management environment, such as SQL Server Management Studio.
• Minimum of 6 years’ on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs.

Core Competencies

Demonstrates expertise in developing and implementing quantitative behavioral models for credit risk, interest rate risk, and liquidity risk management, utilizing advanced statistical software and data analysis techniques. Proficient in managing large data sets and effectively communicating analytical results to stakeholders.