Principal Quantitative Risk Management Analyst, Marlboro or Chelmsford, MA or Hillsboro, OR, Hybrid

Description

This role provides advanced quantitative expertise to support the Credit Union’s capital planning and stress testing program by developing, maintaining, and applying analytical models, scenario-based forecasting processes, and decision-support tools. The role translates business strategy, risk appetite, portfolio behavior, and macroeconomic assumptions into model-ready inputs and actionable outputs that inform capital adequacy assessment, governance, regulatory reporting, management action planning, and proactive risk identification.

It also supports Finance and Capital Planning special projects, including ad hoc analysis, strategic initiatives, process enhancements, management reporting, and cross-functional efforts that improve financial insight, capital adequacy monitoring, and organizational decision-making.

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

• Develop, refine, and maintain sophisticated quantitative models that assess market, credit, operational, and portfolio-level risks.
• Lead the implementation and continuous improvement of analytical tools and processes used for risk measurement, forecasting, stress testing, and scenario analysis.
• Establish and interpret risk metrics, thresholds, and guidelines to ensure the organization’s exposure remains within acceptable boundaries.
• Evaluate the risk implications of new or evolving financial products, strategies, and business initiatives, providing actionable insights to stakeholders.
• Monitor macroeconomic trends, market conditions, and emerging risk signals to identify potential vulnerabilities and recommend mitigation strategies.
• Drive the creation of effective reporting frameworks that enhance transparency, data quality, and efficiency in communicating risk insights.
• Collaborate cross-functionally with business, finance, data, and technology partners to embed quantitative risk practices into decision-making processes.
• Provide technical guidance, mentorship, or subject‑matter expertise to others to strengthen the organization’s overall analytical capabilities.
• Ensure adherence to internal policies, governance expectations, and regulatory requirements related to risk modeling and analytics.

• Anticipates internal/external business issues and recommends product, process or service improvements. Leads projects or programs with significant risk and complexity and develops strategy for project execution. Analyzes complex business issues using conceptual thinking and exercises significant judgment on technical or highly complex problems. Makes recommendations impacting processes or outcomes.
• Exercises independent judgment in methods, techniques and evaluation criteria to work on significant and unique issues. Expert level knowledge in functional area and broad understanding of multiple disciplines. Applies innovative technical or industry knowledge. Communicates frequently with leadership.
• Acts independently to determine methods and procedures. May supervise the activities of others. Works autonomously under general guidance. May lead work group through expertise. Manages multiple processes or programs and establishes operational plans.

• 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.
• Proven ability to build, validate, and interpret complex risk or financial models using tools such as Python, R, SQL, or similar analytics platforms.
• Deep knowledge of risk concepts—including market, credit, operational, and portfolio risk—and their application in financial or operational environments.
• Ability to translate complex analytical findings into clear, actionable recommendations for diverse stakeholders.
• Demonstrated capability to work independently on complex problems while contributing effectively within cross-functional teams.
• Strong understanding of data…