Quant Risk Analyst II — Market & Liquidity Analytics

Busey Bank; Dallas (TX); 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 in Dallas to support Financial Risk Management and Enterprise Risk Management through quantitative analysis, reporting, and model development.

You will work with Treasury, Finance, Credit Administration, and Risk teams to leverage data and analytics for risk measurement, reporting efficiency, and strategic decision-making across market, liquidity, and enterprise risks. Strong Python/SQL skills and BI experience are required.

Qualifications

• Bachelor's degree or higher in a finance/analytical field.
• 3-5 years in banking, risk, or related analytics roles.
• Strong Excel skills and data visualization experience.
• Experience with Python/SQL for data analysis and automation.
• Ability to communicate analyses to technical and non-technical stakeholders.

Responsibilities

• Develop and maintain risk reporting packages, dashboards, and tools.
• Produce analysis for market, liquidity, credit, and enterprise risks.
• Monitor risk indicators and create executive visualizations.
• Support balance sheet analytics and stress testing efforts.
• Collaborate with Treasury, Finance, and Risk teams on data-driven insights.

Skills

3-5 years of experience

Excel (intermediate to advanced)

Experience with Python/SQL

Financial statement analysis

Analytical communication

Education

Bachelor's degree in Finance/Economics/Math/Statistics/Financial Engineering/Data Science

Tools

Power BI

Tableau

Python

SQL

Excel

Job description

Busey Bank is seeking a Quantitative Risk Analyst II in Dallas to support Financial Risk Management and Enterprise Risk Management through quantitative analysis, reporting, and model development.

You will work with Treasury, Finance, Credit Administration, and Risk teams to leverage data and analytics for risk measurement, reporting efficiency, and strategic decision-making across market, liquidity, and enterprise risks. Strong Python/SQL skills and BI experience are required.