Principal Quantitative Risk Management Analyst - Treasury

Description

The Principal Quantitative Modeler serves as Treasury's senior technical lead for quantitative methodologies, behavioral modeling, and scenario design that support balance-sheet management and financial risk decisions. The role develops models of deposit rate sensitivity, balance runoff, pricing responses, and loan prepayments, owning their methodologies, calibration, back testing, and ongoing monitoring. Working with the broader Treasury team, the role translates these insights into assumptions, scenarios, and analytical tools that support balance-sheet forecasting, interest-rate risk assessment, liquidity stress testing, funds transfer pricing, and strategic decisions. The role translates complex quantitative results into clear insights for senior management and governing committees.

Here's what you can expect from the job and what you need to be successful:

What You'll Do:

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Own, develop, refine, calibrate, and monitor quantitative models used by Treasury for asset-liability management, interest-rate risk, net interest income and earnings-at-risk, and economic value of equity/net economic value analysis.
• Lead scenario design, sensitivity analysis, model estimation, calibration, back testing, performance monitoring, and documentation for deposit behavior, deposit pricing, loan prepayment, liquidity, funds transfer pricing, investment, and hedging analytics.
• Establish Treasury quantitative standards and provide final technical review of material modeling methodology, model changes, and assumption changes before governance approval and production implementation.
• Interpret model results and translate complex balance-sheet risk dynamics into clear recommendations for senior management, ALCO, the Board, and other stakeholders.
• Support the analytical integrity of Treasury's ALM production environment, including model configuration, model inputs, scenario design, controls, and change governance, while partnering with the Treasury team on implementation and operation.
• Build and enhance reproducible analytics, monitoring, and decision-support tools using Python, SQL, and other approved platforms.
• Lead first-line model governance for Treasury-owned models, including inventory, documentation, ongoing monitoring, issue remediation, and evidence supporting audits and regulatory examinations.
• Coordinate Treasury's responses to independent model validation, Enterprise Risk, Internal Audit, external auditors, and regulators without independently validating models developed, owned, or used by Treasury.
• Provide technical direction and mentoring through expertise and influence; collaborate across Treasury, Finance, Risk, Data, and Technology without requiring formal people-management responsibility.

Typical Scope:

• Anticipates internal and external balance-sheet issues and recommends model, process, assumption, or analytical improvements. Leads technically complex work with significant risk and organizational impact and develops the approach for execution.
• Exercises independent judgment in methods, techniques, and evaluation criteria on significant and unique quantitative issues. Applies expert knowledge of Treasury modeling and a broad understanding of finance, risk, data, and governance. Communicates frequently with leadership.
• Works autonomously under general guidance and may lead work through expertise. Owns multiple models or analytical processes and establishes technical standards and operating plans. Formal people management is not required.

Essential Skills:

• Required Education: Bachelor's degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree)
• Required Experience: 8 - 12 years of relevant experience
• Strong expertise in quantitative finance, statistics, econometrics, mathematics, or a related discipline, with applied experience in ALM, interest-rate risk, liquidity, deposits, prepayments, investments, or hedging.
• Proven ability to build, calibrate, back test, monitor, document, and interpret complex financial or risk models using Python, SQL, or similar analytical platforms.
• Deep knowledge of balance-sheet risk concepts, including NII/earnings-at-risk, EVE/NEV, deposit behavior, loan prepayments, liquidity stress testing, funds transfer pricing, and scenario analysis.
• Ability to translate complex quantitative findings into clear, decision-relevant recommendations for executives, ALCO, the Board, validators, auditors, and regulators.
• Demonstrated ability to work independently on significant and complex issues while providing technical direction and mentoring across cross-functional teams.
• Strong understanding of data structures, model governance, first-line model ownership, change control, and the distinction between model development and

Location: Hillsboro, OR 97124 | Marlborough, MA 01752

Target Compensation: $146,500 - $176,000 + annual bonus

Schedule:Monday - Friday | Full-Time (Hybrid)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.