Position Details

Type Full-Time

Experience lead

Exp. Years 5+ years

Education Bachelor's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline; or Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline.

Category Data & Analytics

About this role

Lead analytics and modeling efforts to support credit risk and regulatory initiatives. Oversee and guide quantitative analysts, build predictive models, and ensure data-driven decisions align with risk appetite.

Key Responsibilities

Lead Quantitative Analysts in data analysis and predictive model construction
Develop and maintain risk-focused statistical models
Validate model testing and regulatory compliance
Coordinate across business units to derive optimal solutions
Communicate complex concepts to senior management

Technical Overview

Stack includes Python, Power BI, SQL; strong background in regression and multivariate modeling; experience with large credit risk datasets and data visualization.

Ideal Candidate

The ideal candidate is a lead quantitative analyst with 5+ years of experience, strong skills in Python, Power BI, and SQL, and a track record of building and validating predictive credit risk models while ensuring regulatory compliance.

Must-Have Skills

Bachelor degree in MathematicsStatisticsQuantitative Analysis or another technical disciplineExperience with PythonPower BIAdvanced Knowledge of SQL and Microsoft OfficeDemonstrated ability to communicate complex conceptsDemonstrated ability to manipulate and analyze data across large databasesMinimum of 5 years relevant experience

Nice-to-Have Skills

Credit Analysis experience

Required Skills

PythonPower BISQLStructured Query LanguageMicrosoft OfficeRegressionMultivariate analysisData analysisPredictive statistical modelsCredit risk databases

Hard Skills

PythonPower BISQLStructured Query LanguageMicrosoft OfficeRegressionMultivariate analysisData analysisPredictive statistical modelsCredit risk databases

Soft Skills

leadershipcommunicationcollaborationproblem-solvingrisk managementregulatory complianceteam coordination

Certifications

Preferred

Credit Analysis

Industry & Role

Industry Banking

Job Function Lead analytics and model development for credit risk and regulatory compliance

Role Subtype Lead Quantitative Analyst

Tech Domains Python, Power BI, SQL / PostgreSQL, Microsoft Office, Tableau

Keywords for Your Resume

Commercial Scorecard Analyst LeadPythonPower BISQLStructured Query LanguageMicrosoft OfficeRegressionMultivariatedata analysiscredit risk databasesrisk managementstatistical modelsregulatory complianceBachelor's degreeMaster's degree5 years5+ yearspredictive modelingM&T Bankbankingregressionmultivariatecredit risk

Deal Breakers

Less than 5 years of relevant experience, Lack of Python/Power BI/SQL experience, Inability to communicate complex concepts clearly

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