Quantitative Risk Analyst II — Market & Liquidity Analytics

Busey Bank; Kansas; Hybrid; USD 71,000 - 92,000; Full time

Benefits offered by this job

401(k) match

Profit sharing

Employee stock purchase plan

Paid time off

Medical insurance

Dental insurance

Vision insurance

Company-paid life insurance and long‑/

short-term and long-term disability

Wellness incentives

Employee assistance program

Pre-tax health savings accounts and FS

Job summary

Busey Bank is seeking a Quantitative Risk Analyst II to advance risk measurement and reporting across market, liquidity and enterprise risk areas. You will partner with Treasury, Finance, Credit Administration and Risk teams to craft data-driven insights and automated reporting solutions.

The role emphasizes model development, scenario forecasting, and governance of analytics supporting stress testing and liquidity management. Strong programming and BI skills are essential.

Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, Financial Engineering, Data Science or related field.

Responsibilities

• Develop, maintain, and enhance risk reporting packages, dashboards and analytical tools.
• Analyze market, liquidity, credit, capital and enterprise risks; monitor key risk indicators.
• Support balance sheet analytics, stress testing, and scenario analysis.
• Develop quantitative models and automated reporting processes using Python/SQL.
• Identify trends, anomalies and emerging risks to support decision-making.

Skills

Analytical thinking

Quantitative analysis

Communication

Stakeholder engagement

Education

Bachelor's degree in Finance or related field

Tools

Power BI

Tableau

Python

SQL

Excel

Job description

Busey Bank is seeking a Quantitative Risk Analyst II to advance risk measurement and reporting across market, liquidity and enterprise risk areas. You will partner with Treasury, Finance, Credit Administration and Risk teams to craft data-driven insights and automated reporting solutions.

The role emphasizes model development, scenario forecasting, and governance of analytics supporting stress testing and liquidity management. Strong programming and BI skills are essential.