Remote Quantitative Finance Analyst - ALM & Modeling

BECU; Northern (KY); Hybrid; USD 83,000 - 154,000; Full time

Benefits offered by this job

401(k) Match

Medical/Dental/Vision

PTO & Exchange Program

Tuition Reimbursement

Volunteer time off + donation match

Job summary

BECU is seeking a Quantitative Financial Analyst to advance Treasury and ALM analytics. You will apply quantitative methods to fixed income, interest-rate risk, and profitability decisions, building models and scalable tools in Python and Excel.

This role emphasizes collaboration across Treasury, Risk, and Product teams and ongoing model governance. Remote-friendly with national scope, the position offers opportunities to modernize pricing analytics and contribute to balance sheet strategy while

Qualifications

• Master’s degree or PhD in Financial Engineering, Quantitative Finance, Mathematics, Statistics, Econometrics, Physics, or a closely related quantitative field.
• Proficiency in Python and Excel/VBA; knowledge of fixed income, duration, convexity, derivatives, and portfolio risk.
• Ability to independently solve complex problems and translate findings into clear insights for diverse audiences.

Responsibilities

• Turn quantitative analysis into decisions to understand interest rate risk and profitability.
• Support analysis across NII and Economic Value/EVE sensitivity, duration, convexity, stress testing.
• Maintain and improve Treasury models; extend analytical capabilities.
• Develop quantitative models and analytical applications for new questions.
• Support pricing analytics with Snowflake and improved attribution and P&L insights.
• Apply fixed income valuation, derivatives, duration, and risk management to hedging activities.
• Automate processes using Python and Excel/VBA to scale analyses.
• Collaborate with Treasury, Risk, Product, and Portfolio teams to validate models.

Skills

Python

Excel/VBA

Financial modeling

Quantitative analytics

Problem solving

Education

Master’s degree or PhD in Financial Engineering/Quantitative Finance/Math/Stats/ Econometrics

Tools

Snowflake

Git/GitHub

Job description

BECU is seeking a Quantitative Financial Analyst to advance Treasury and ALM analytics. You will apply quantitative methods to fixed income, interest-rate risk, and profitability decisions, building models and scalable tools in Python and Excel.

This role emphasizes collaboration across Treasury, Risk, and Product teams and ongoing model governance. Remote-friendly with national scope, the position offers opportunities to modernize pricing analytics and contribute to balance sheet strategy while