Gratia

Systems Engineer

• Strategize the technical design for adding multiple new reporting bases. Evaluate what the system provides out-of-the-box versus what needs to be custom-built to prevent report latency and ensure scalability.
• Manage complex message workflows, integrating investment cash flows and ensuring accurate accounting basis treatments across interconnected entity structures.
• Work directly within the tech stack to build, configure, and modify system logic, data pipelines, and frontend/backend components.
• Actively leverage enterprise AI tools (OpenAI, Anthropic, Copilot) deployed on the cloud to accelerate development and solve complex architectural challenges.

PAM Engineering Lead – Systems Architect

Data Scientist

• 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

Data Manager – Treasury

Growth Marketing

• Define multi-year growth plans, portfolio expansion, and business model pivots.
• Run structured assessments to prioritize new markets, segments, or targets (Score → Select → Deep-Dive).
• Build robust, assumptions-driven models to value investments, acquisitions, or build-vs-buy decisions.
• Map competitive landscapes, cluster archetypes, and identify open market whitespace.
• Diagnose pipeline constraints, prioritize channels, and design actionable rollout plans.

PAM Engineering Lead – Systems Architect

Data Manager – Treasury

Growth Analyst