Advanced Quantitative Risk Analyst

Busey Bank; Carmel (IN); On-site; USD 71,000 - 92,000; Full time

Benefits offered by this job

401(k) match

Profit sharing

Employee stock purchase plan

Medical, dental, vision

Job summary

Busey Bank is seeking a Quantitative Risk Analyst II to advance market and liquidity risk analytics and enterprise risk monitoring. The role emphasizes developing automated reporting, dashboards, and data-driven insights for Treasury, Finance, and Risk teams.

The candidate will work with Python, SQL, and BI platforms to support stress testing, balance sheet analysis, and risk reporting while contributing to process improvements and data integrity across risk functions.

Qualifications

• Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Financial Engineering, Data Science or a closely related field.
• 3–5 years of banking, financial services, treasury, finance, risk management, portfolio analytics, or related disciplines.
• Experience with large and complex datasets and automated reporting.

Responsibilities

• Develop, maintain, and enhance recurring risk reporting packages, dashboards, and analytical tools.
• Produce analysis related to market, liquidity, credit, capital, and enterprise risks.
• Monitor and report key risk indicators and concentration measures.
• Design executive-level reporting and visualizations for management.
• Support development of models and data analytics for risk measurement.

Skills

Excel

Power BI

Tableau

Financial analysis

Python

SQL

Data analysis

Dashboards

Education

Bachelor's degree

Tools

Power BI

Tableau

Job description

Busey Bank is seeking a Quantitative Risk Analyst II to advance market and liquidity risk analytics and enterprise risk monitoring. The role emphasizes developing automated reporting, dashboards, and data-driven insights for Treasury, Finance, and Risk teams.

The candidate will work with Python, SQL, and BI platforms to support stress testing, balance sheet analysis, and risk reporting while contributing to process improvements and data integrity across risk functions.