Position Details

Salary $103K – $171K USD / year

Type Full-Time

Experience lead

Exp. Years 5+ years

Education Bachelor degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, OR Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline, with minimum of 3 years relevant experience

Category Data & Analytics

About this role

Lead the quantitative analytics team to build and maintain statistical credit risk models, provide data analysis and modeling support, and ensure compliance with risk and regulatory standards. Drive model strategy and collaborate across functions to optimize business outcomes.

Key Responsibilities

Lead Quantitative Analysts in data modeling and interpretation
Build and validate predictive models
Ensure adherence to risk/regulatory standards
Guide lower-level analysts
Collaborate across business functions to derive optimal solutions

Technical Overview

Role focuses on advanced data/statistical analysis, regression and multivariate modeling, using Python and Power BI to model credit risk; heavy SQL usage for data extraction from risk databases; aligns with regulatory risk controls.

Ideal Candidate

The ideal candidate is a senior data analytics professional with 5+ years of experience in banking/financial services, strong Python and Power BI skills, and a deep focus on credit risk modeling and data analysis to support risk management and regulatory compliance.

Must-Have Skills

Bachelor degree in MathematicsStatisticsQuantitative Analysis or another technical disciplineOR in lieu of degreea combined minimum of 9 years higher education and/or work experience including a minimum of 5 years relevant experienceExperience with PythonPower BIAdvanced knowledge of SQLMicrosoft OfficeBanking or Financial Services experience

Nice-to-Have Skills

Credit Analysis experience

Tools & Platforms

PythonPower BISQLMicrosoft Office

Required Skills

StatisticsData AnalysisRegressionMultivariate modelsPythonPower BISQLMicrosoft OfficeCredit Risk databasesBanking/Financial Services experience

Hard Skills

PythonPower BISQLMicrosoft OfficeRegressionMultivariate modelsstatistical modelingdata analysisCredit Risk databases

Soft Skills

communicationleadershipmentorshipproblem solvingregulatory compliancerisk managementcollaborationattention to detail

Industry & Role

Industry Banking

Job Function Leadership of quantitative analytics for credit risk data modeling and strategy

Role Subtype Senior data analyst

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

Keywords for Your Resume

Commercial Scorecard Analyst LeadPythonPower BISQLMicrosoft OfficeRegressionMultivariate modelsstatistical modelingdata analysisCredit Risk databasesrisk managementregulatory complianceteam leadershipcommunicationBankingFinancial ServicesBachelor's degreeMaster's degree5 years relevant experiencecollaborative analyticsStatistical ModelingCredit RiskRisk ManagementData Analysis

Deal Breakers

No relevant banking/financial services experience, Lack of Python/Power BI proficiency, No SQL or data analysis experience

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