Quantitative Financial Analyst: ALM & Risk Modeling

BECU; Washington; On-site; USD 83,000 - 154,000; Full time

Job summary

BECU is seeking a Quantitative Financial Analyst to combine quantitative thinking, financial modeling, and technology to inform Treasury and balance sheet decisions. You will apply your understanding of fixed income and interest rate risk across ALM, mortgage hedging, pricing, profitability, and portfolio risk.

You’ll leverage Python and Excel/VBA to automate workflows, build new analytical solutions, and help leaders act on insights while collaborating across risk, product, and treasury teams.

Qualifications

• Strong quantitative foundation with ability to solve complex problems independently.
• Willingness to learn the business behind the models and communicate results.
• Experience in ALM, interest rate risk, and fixed income is a plus.

Responsibilities

• Turn quantitative analysis into decisions for Treasury and leadership.
• Advance ALM and risk analytics across NII and EVE sensitivity.
• Enhance financial models, maintain parameters, and extend capabilities.
• Build new quantitative solutions when questions arise.
• Modernize pricing analytics with Snowflake integration.
• Support portfolio and hedging decisions using fixed income concepts.
• Automate processes with Python and Excel/VBA.
• Collaborate with Treasury, Enterprise Risk Management, Credit Risk, Product, and portfolio leaders.
• Maintain model governance through documentation.

Skills

Quantitative analysis

Financial modeling

Problem solving

Independent thinker

Tools

Python

Excel/VBA

Snowflake

Job description

BECU is seeking a Quantitative Financial Analyst to combine quantitative thinking, financial modeling, and technology to inform Treasury and balance sheet decisions. You will apply your understanding of fixed income and interest rate risk across ALM, mortgage hedging, pricing, profitability, and portfolio risk.

You’ll leverage Python and Excel/VBA to automate workflows, build new analytical solutions, and help leaders act on insights while collaborating across risk, product, and treasury teams.