Financial Analyst

Edelman Financial Engines•Boston, MA

11d•Remote

About The Position

The Business Line Finance team at Edelman Financial Engines (EFE) works directly alongside Marketing, Distribution, and Product & Technology partners, translating financial data into context that helps those teams make better decisions. We are always looking for ways to work smarter and faster, whether that's developing a new forecasting model, turning a monthly manual report into an automated dashboard, or digging into a data set to surface something useful before the next business review. If that kind of work sounds interesting, we'd like to talk.

Requirements

Bachelor’s degree in Finance, Accounting, or a related field
1–3 years of FP&A, business finance, or financial analytics experience
Demonstrated ability to work collaboratively across different functions and effectively influence senior business partners
Strong analytical and financial modeling skills with the ability to work through ambiguity and structure problems independently
Proficient in Excel, financial modeling, and preparing presentations

Nice To Haves

Background in Financial Services, FinTech, or Wealth Management
Demonstrated use of analytics or BI tools to build something better, faster, or more scalable than what existed, regardless of tool
Hyperion or similar ERP/EPM planning tool experience (e.g., Anaplan, Adaptive Insights, IBM Planning Analytics)

Responsibilities

Owning and managing AUM, revenue, cost of revenue budgets for business line partners; building, maintaining, and explaining the numbers while proactively identifying variances and variance drivers before they become surprises.
Building and maintaining driver-based forecasts for net flows, working with business partners to develop and pressure-test the assumptions that underpin those projections.
Building and maintaining dashboards and reporting in Power BI that give business partners real-time visibility into financial performance, proactively identifying manual or recurring workflows and replacing them with scalable, automated solutions.
Preparing materials for internal leadership and external stakeholders (lenders, PE owners, etc.) that translate complex financial data into clear, decision-ready insights.