LeapNode is seeking a highly motivated and experienced Senior Financial Systems Analyst to take ownership of its internal platforms RiskHub and PORT adAPPter on a project basis. This role is designed for professionals with a strong financial domain background—especially in portfolio data modeling and instrument representation for risk systems—combined with the technical proficiency to manage and extend a Python-based platform and database architecture. You will act as the key liaison between investment operations, risk management, and data engineering, ensuring accurate and timely integration of multi-asset portfolio data into downstream risk and reporting environments. This role demands regular, proactive engagement with customers to understand their financial objectives, present findings, and collaborate on strategic recommendations.

● Lead the maintenance and enhancement of RiskHub and PORT adAPPter for risk data integration, ETL workflows, and reporting processes.

● Model and map financial instruments and portfolios for integration with external risk and performance platforms (e.g., factor models, benchmarks).

● Maintain and extend the Python codebase powering internal tools, including data ingestion logic, validation routines, and configuration GUIs.

● Oversee database design, schema migrations, and optimization of portfolio-level and position-level data storage.

● Collaborate with business users to support workflows for instrument resolution, portfolio setup, and reporting configuration.

● Troubleshoot data integrity issues and ensure robustness of end-to-end ETL chains.

● Articulate complex financial conepts clearly and effectively to diverse audiences, both written and verbal

● Understand and meet customer needs, building strong relationships through effective communication and proactive support.

• Higher education degree in a quantitative field. Relevant certification (e.g. FRM, CFA preferred)

• 5+ years of experience in a related professional field

• Solid understanding of financial instruments, including equities, bonds, derivatives, and FX products.

• Prior experience working with portfolio data modeling in the context of risk, compliance, or performance systems.

• Familiarity with one or more of the following risk analytics environments:

• Bloomberg PORT

• MSCI BarraOne

• Axioma or equivalent platforms

• Experience with performance reconciliation frameworks, integration of benchmark data, hedging overlays, and NAV-based reporting.

• Strong Python programming skills, including:

• Data processing with pandas

• ORM-based modeling using SQLAlchemy

• Experience with internal tools or dashboards built in Dash or equivalent beneficial

• Proficiency in SQL and relational databases, particularly:

• Microsoft SQL Server

• PostgreSQL

• Experience designing or maintaining ETL processesand supporting data validation pipelines in a production setting.

• Familiarity with documentation and reporting frameworks (e.g., Sphinx, Quarto, Excel-based reporting layers).