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 processesand 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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