At Gratia, we believe potential is globally distributed, but opportunity is not. Our mission is to turn great talent's potential into fulfilling global careers through professional development and tech-enabled platforms. We bridge the gap between ambitious companies and hands-on experts who deliver real results instead of just theoretical plans.
Gratia is a remote-first, apprenticeship-based platform where opportunity is defined by what you can do and deliver. Our clients include global names like USA Today Co., Endeavor, and New York Life. We maintain an 88.2 Net Promoter Score because we focus on rigorous execution, not just high-level advice.
The mission
A leading global alternative asset manager is looking to bring structure to a complex, fast-moving data environment across treasury, finance, risk, and accounting. The data landscape spans fund-level positions, security master, cash flows, management fees, ratings, and accounting data — and it needs someone who can navigate that complexity without a roadmap. You won't be trained into this. You'll be expected to understand the terrain, ask the right questions, and drive the work forward from day one.
We're hiring for two complementary profiles that will work as a unit:
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Manager — A product / finance / treasury / risk-oriented lead who understands the business context, guides the work, translates stakeholder needs into clear data requirements, and owns the relationship with technology teams and vendors
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Analyst — A hands-on data specialist who handles the mining, cleaning, cleansing, mapping, and structuring of data domains day-to-day
What you’ll be doing
- Create and structure data domains across treasury, finance, risk, FP&A, and accounting — defining granularity, business logic, and data ownership from scratch where needed
- Own source-to-target mapping end-to-end — extract, transform, enrich, cleanse, and map data from messy source systems into clean, reliable outputs
- Translate business needs into clear technical requirements — work directly with finance, treasury, and risk stakeholders to clarify what they actually need, and spec that clearly for technology teams or external vendors
- Navigate accounting and financial nuance — understand concepts like management fee structures (receivables vs. payables, date logic, transaction-level detail), ratings hierarchies, and cash flow categorization well enough to avoid pulling the wrong data
- Operate with minimal ramp-up — whether you've worked inside a comparable firm or come from a strong treasury/risk data background, you're expected to orient quickly and drive work forward without heavy training
What we’re looking for