
51 - 200 employees
Founded 2008
💳 Fintech
☁️ SaaS
🏦 Banking
💰 Private Equity Round - Empyrean Solutions on 2024-11
Fintech • SaaS • Banking
Empyrean Solutions is a software and services company that provides integrated risk, balance sheet and performance management solutions for banks and credit unions. Their product suite includes Empyrean ALM® for asset-liability management and liquidity stress testing, Model IQ™, CECL, capital planning, funds transfer pricing, budgeting & planning, profitability analytics, and a unified data platform (Empyrean Dataverse®). They offer cloud deployment (Empyrean Cloud®), outsourced balance sheet management and advisory services, targeting treasury, FP&A, risk and compliance teams at financial institutions to deliver consistent data, forecasting, and reporting.
🔥 2 hours ago
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51 - 200 employees
Founded 2008
💳 Fintech
☁️ SaaS
🏦 Banking
💰 Private Equity Round - Empyrean Solutions on 2024-11
Fintech • SaaS • Banking
Empyrean Solutions is a software and services company that provides integrated risk, balance sheet and performance management solutions for banks and credit unions. Their product suite includes Empyrean ALM® for asset-liability management and liquidity stress testing, Model IQ™, CECL, capital planning, funds transfer pricing, budgeting & planning, profitability analytics, and a unified data platform (Empyrean Dataverse®). They offer cloud deployment (Empyrean Cloud®), outsourced balance sheet management and advisory services, targeting treasury, FP&A, risk and compliance teams at financial institutions to deliver consistent data, forecasting, and reporting.
• Deliver successful implementations of Empyrean's Profitability Solutions, taking clients from project initiation through go-live on a well-configured, sustainable model. • Translate each client's profitability objectives and reporting needs into an implementation approach their team can own and maintain. • Ensure profitability dimensions, hierarchies, and allocation logic are configured to produce accurate, decision-ready results, including capital, ACL, and provision allocations. • Ensure client data supporting profitability is complete, reconciled, and reliable as the foundation for reporting. • Enable clients to produce and trust their profitability reporting across customer, instrument, product, and organizational views. • 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 profitability 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. • Perform other job duties and assignments as needed and directed.
• Degree in finance, accounting, economics, mathematics, or a related discipline. • A minimum of two years of experience in banking, financial services, 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.). • 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 bank profitability concepts, including Funds Transfer Pricing (FTP), cost allocation, and product, customer, instrument, and organizational profitability measurement. • Familiarity with fixed-income cashflow calculation and fixed income math. • Familiarity with risk-based / regulatory capital attribution and allowance (ACL/ALLL) calculations. • Experience implementing planning or profitability solutions at a financial institution. • Experience with financial data management, ETL tools, and Microsoft Power Query. • Knowledge of SQL or other data-analysis tools. • Prior consulting, implementation, or customer-success experience. • Experience building or improving repeatable, AI-assisted workflows.
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