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.
Aufgaben ● 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.
Qualifikation 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 processes and supporting data validation pipelines in a production setting.
Familiarity with documentation and reporting frameworks (e.g., Sphinx, Quarto, Excel-based reporting layers).
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