Risk Management - Implementation Consultant

The Company

Empyrean Solutions specializes in financial risk and performance management solutions for banks and credit unions. Empyrean offers a comprehensive suite of software products supporting asset-liability management, budgeting and financial planning, capital stress testing, profitability, and funds transfer pricing. Our solutions empower financial institutions to manage risk, improve decision‑making, and build stable long‑term earnings.

The Professional Services team is comprised of financial modelers, data analysts, and product experts who help clients realize the full value of Empyrean’s software. Through consulting, implementation services, and training, the team partners closely with financial institutions to support successful adoption and long‑term use of Empyrean’s solutions.

• Deliver successful implementations of Empyrean's ALM, LST, FTP, Model IQ, Capital Stress Testing, and CECL solutions, taking clients from project initiation through go-live on a well-configured, sustainable model.

• Translate each client's interest rate risk, liquidity risk, capital, credit loss, transfer pricing, and model governance objectives into an implementation approach their team can own and maintain.

• Ensure balance sheet structures, cashflow assumptions, rate and capital stress scenarios, and CECL/ACL methodologies are configured to produce accurate, decision-ready results.

• Ensure client data supporting these solutions is complete, reconciled, and reliable as the foundation for modeling and reporting.

• Enable clients to produce and trust their IRR, liquidity, capital, transfer pricing, and credit loss reporting across product, instrument, and organizational views.

• Support model development and governance workflows within Model IQ, helping clients build, test, and maintain defensible models.

• Equip clients to independently administer the solution and build their own reporting through effective training and knowledge transfer.

• Advise clients on best practices for data management, reporting, and balance sheet risk measurement.

• Serve as a liaison between the client user community and Empyrean's product management team, channeling client needs into product direction.

• Apply AI-assisted tools and repeatable processes to deliver value more efficiently and consistently, and contribute to improving those processes over time.

• Safeguard sensitive customer data by following all applicable policies and controls and using approved channels for data transmission.

• Degree in finance, accounting, economics, mathematics, or a related discipline.

• 2–5 years of experience in banking, financial services, risk management, FP&A, or financial technology.

• Solid understanding of the banking industry, accounting, and financial statements.

• Strong knowledge of Excel and experience working with large datasets.

• Strong attention to detail and good planning and organization skills.

• Experience with business intelligence tools (Tableau, Power BI, etc.).

• Experience with statistical or behavioral model development (e.g., regression-based NMD, prepayment, or PD/LGD modeling).

• Comfortable following and improving structured processes.

• Demonstrated AI literacy in a professional environment and sound judgment about when and how to apply it, including awareness of data-handling and confidentiality considerations.

• Working knowledge of asset/liability management (ALM), interest rate risk, Capital Stress Testing, and liquidity risk concepts, including liquidity stress testing (LST).

• Working knowledge of Funds Transfer Pricing (FTP).

• Familiarity with CECL/ALLL methodologies and allowance for credit loss calculations.

• Familiarity with model risk management, model validation, or model governance frameworks (e.g., Model IQ).

• Familiarity with regulatory capital planning and stress testing frameworks (e.g., CCAR/DFAST-style).

• Familiarity with fixed-income cashflow calculation and fixed income math.

• Experience implementing ALM, liquidity, Capital Stress Testing, or CECL solutions at a financial institution.

• Experience with financial data management, ETL tools, and Microsoft Power Query.

• Knowledge of SQL or other…