Lead Quantitative Analyst

Develop, maintain, and enhance quantitative frameworks supporting balance sheet management, enterprise capital planning, stress testing, and Current Expected Credit Loss (CECL) modeling as we mature as a Tier 1 Credit Union exceeding $10 billion in total assets. Translate complex financial, economic, and member-level data into actionable insights that support strategic decision-making, risk management, forecasting, and regulatory requirements. Lead the design and validation of quantitative models, scenario analyses, forecasting methodologies, and data-driven processes used to assess capital adequacy, credit risk, earning performance, and balance sheet resilience under a range of economic conditions.

Ensure the integrity, transparency, and effective governance of key analytical processes while strengthening UNFCU's capabilities to meet the increased regulatory, risk-management, and reporting expectations. Serve as a subject-matter expert and internal owner for the integrity of data flowing into Finance, while partnering with technology and business stakeholders to ensure systems produce reliable and controlled results.

This position is hybrid/remote.

NYC Salary Range - $125,000 - $150,000 annually; compensation is commensurate to geographic location.

• Regardless of seniority or role, uphold UNFCU's mission, core values, and guiding principles by providing an exceptional service experience to colleagues and members alike through consistent demonstration of our service excellence behaviors.

Financial & Quantitative Analysis

• Develop and maintain sophisticated financial, statistical, and quantitative analyses supporting strategic and operational decision-making.
• Develop financial models, forecasts, scenarios, sensitivity analyses, and quantitative tools to support management decisions.
• Analyze financial performance, trends, forecasts, budgets, liquidity, capital, interest rate risk, profitability, and other key financial metrics.

Enterprise Data Quality & Quality Control

• Establish and maintain data quality standards, validation procedures, and control frameworks for financial and operational data.
• Develop automated and manual data quality checks to identify missing, inaccurate, inconsistent, duplicated, or anomalous data.
• Establish data validation rules and reconciliation processes between source systems, the general ledger, data warehouses, reporting platforms, and other downstream systems.
• Investigate data discrepancies, determine root causes, and coordinate corrective actions with appropriate business and technology teams.
• Establish documentation around data lineage, data definitions, calculations, transforms, and ownership.
• Partner with business units to establish consistent definitions for critical financial and operational data elements.
• Maintain appropriate evidence and documentation to support internal controls, audits, examinations, and regulatory requirements.

Finance Systems & Software Oversight

• Serve as the Finance primary business owner and subject-matter expert for software applications and systems that impact the department.
• Participate in requirements gathering, system design, testing, implementation, and post-implementation validation.
• Develop and execute user acceptance testing (UAT) plans for Finance-related systems and system changes.
• Perform additional responsibilities as assigned.
• Ensure compliance with federal and state laws and regulations and UNFCU's Code of Ethics & Business Conduct.

• Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Data Analytics, Computer Science, Information Systems, or a related quantitative discipline
• 7-10 years of experience in financial analysis, quantitative analysis, data…