Software Implementation Consultant

Empyrean Solutions, LLC

United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Big Data Customer Data Management Data Transmissions Extract Transform Load (ETL) Power BI Standard Sql Product Software Implementation Methods Tableau (Software) File Transfer Protocol (FTP)

+1 more

Data Management

Job description

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.

Requirements

Degree in finance, accounting, economics, mathematics, or a related discipline.
a minimum of two years of experience in banking, financial services, FPA, 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.