Quantitative Financial Analyst

Overview

This role is for a Quantitative Financial Analyst supporting smarter Treasury and balance sheet decisions. The position combines quantitative thinking, financial modeling, and technology to help assess interest rate risk, profitability, and portfolio behavior across Asset Liability Management (ALM) and related hedging activities.

Pay & Compensation

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

Responsibilities

• Turn Quantitative Analysis into Decisions: Use financial modeling and quantitative analysis to help Treasury and business leaders understand interest rate risk, profitability, portfolio behavior, and balance sheet opportunities.
• Advance ALM & Risk Analytics: Support 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: Understand existing Treasury models, challenge assumptions, recommend improvements, maintain model parameters, and extend analytical capabilities as business needs evolve.
• Build New Solutions: Develop quantitative models and analytical applications when new questions arise, translating ambiguous business problems into structured analytical solutions.
• Modernize Pricing Analytics: Support the transition of pricing models to Snowflake and help build attribution and sensitivity analytics supporting offset center P&L and profitability insights.
• Support Portfolio & Hedging Decisions: Apply fixed income valuation, derivatives, duration, convexity, and risk-management concepts to mortgage portfolio and broader balance sheet hedging activities.
• Automate & Scale: Use Python and Excel/VBA to automate processes, improve analytical workflows, and create more efficient and scalable solutions.
• Partner Across the Business: Collaborate 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: Maintain 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; and 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, with curiosity and learning agility to quickly build knowledge across Treasury and financial concepts.

Preferred 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 as well)
• PTO Program + Exchange Program
• Tuition Reimbursement Program
• Volunteer time off (“BECU Cares”)* + donation match

a)*Volunteer time off + donation match is provided through the program listed in the source posting.

Location & Work Arrangement

• 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 role requests coming into HQ on Tuesdays & Wednesdays.
• For candidates outside commute distance of TFC and in approved remote work locations, the role will be remote.
• Remote or onsite, the role emphasizes being fully engaged and included in a collaborative environment.

Equal Opportunity

The employer 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.