Quantitative Financial Analyst

Overview

This role is for a Quantitative Financial Analyst supporting Treasury and balance sheet decision-making. The position combines quantitative thinking, financial modeling, and technology to help inform smarter Asset Liability Management (ALM) strategies and risk and profitability insights.

Pay & Incentives

• Target Pay Range: $106,600.00–$130,100.00 annually
• Full Pay Range: $82,900.00–$154,000.00 annually
• Compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. If an offer is made, individual qualifications will be considered.
• Compensation incentives are available for the hired applicant and are performance based; targets vary by role.

Responsibilities

• Turn quantitative analysis into decisions by applying financial modeling to help Treasury and business leaders understand interest rate risk, profitability, portfolio behavior, and balance sheet opportunities.
• Advance ALM and risk analytics including analysis across NII and Economic Value/EVE sensitivity, duration and convexity, scenario and stress testing, deposit behavior, loan prepayments, and other balance sheet risk measures.
• Enhance financial models by understanding existing Treasury models, challenging assumptions, recommending improvements, maintaining model parameters, and extending analytical capabilities as business needs evolve.
• Build new solutions by developing quantitative models and analytical applications when new questions arise, translating ambiguous business problems into structured analytical solutions.
• Modernize pricing analytics by supporting the transition of pricing models to Snowflake and helping build attribution and sensitivity analytics supporting offset center P&L and profitability insights.
• Support portfolio and hedging decisions using fixed income valuation, derivatives, duration, convexity, and risk-management concepts for mortgage portfolio and broader balance sheet hedging activities.
• Automate and scale analytics using Python and Excel/VBA to automate processes, improve analytical workflows, and create more efficient and scalable solutions.
• Partner across the business with Treasury, Enterprise Risk Management, Credit Risk, Product, and portfolio leaders to explain models, support validation, and help establish meaningful guardrails and guidelines.
• Strengthen model governance by maintaining model documentation, assumptions, and parameters while navigating appropriate model governance and validation processes.

Qualifications

Minimum Qualifications

• Master’s degree or PhD in Financial Engineering, Quantitative Finance, Mathematics, Statistics, Econometrics, Physics, or a closely related quantitative field.
• Quantitative and financial modeling expertise, including demonstrated experience developing, applying, or enhancing financial or statistical models.
• Strong knowledge of fixed income, interest rate risk, valuation, duration, convexity, derivatives, and portfolio risk management.
• Advanced proficiency in Python and Excel/VBA.
• Demonstrated ability to independently solve complex and ambiguous problems, challenge assumptions, improve analytical approaches, and translate quantitative findings into clear insights for diverse audiences.
• Curiosity and learning agility to quickly build knowledge across Treasury and financial concepts.

Desired Qualifications

• Applied experience with Asset Liability Management (ALM), Treasury analytics, FTP, capital management, balance sheet strategy, or profitability analytics.
• Experience with NII/EVE sensitivity analysis, deposit behavioral modeling, loan prepayment modeling, scenario analysis, or stress testing.
• Experience with mortgage hedging, fixed income portfolio management, derivatives analytics, rates/trading support, investment analytics, or other interest-rate hedging environments.
• Experience building quantitative models from scratch through professional experience, internships, or graduate-level projects.
• Experience with Snowflake, Git/GitHub, or similar modern data and development environments.
• Experience using AI-assisted development or AI pair-programming tools as part of an analytical or coding workflow.
• Experience within a bank, credit union, mortgage company, financial services organization, or consulting environment is helpful but not required.

Compensation & Benefits

• 401(k) Company Match (up to 3%)
• 4% annual contribution to your 401(k)
• Medical, Dental and Vision (family contributions available)
• PTO Program + Exchange Program
• Tuition Reimbursement Program
• Volunteer time off + donation match (BECU Cares)

Location & Work Schedule

• Candidates must be residents of WA, OR, ID, AZ, TX, GA, NC, VA, CA, or SC.
• If located in Washington state and within a reasonable driving distance from Tukwila, the expectation is to come into HQ Tuesdays & Wednesdays.
• For candidates outside the commute distance and in any of the approved remote work locations, the role is remote.
• The role is remote or onsite depending on location and commute eligibility.

Equal Opportunity

This position is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.