AI-Focused Financial Data Engineer
Summary
Build financial data infrastructure and models for an AI-driven investment firm, implementing calculations, auditable data pipelines, and analytics engines for portfolio analysis.
Join the AI revolution as a Forward Deployed Engineer specializing in Financial Engineering. Collaborate with investment teams to build robust financial data infrastructures.
Our client is on an exciting journey to become AI-driven, requiring engineers to develop vital data solutions for financial operations. The position merges financial engineering and data engineering, focusing on accurate fund accounting and analytics. You will implement calculations and build robust data models critical for portfolio analysis.
Key Responsibilities: • Collaborate on building unified financial data solutions • Implement core calculations with complete auditability • Create financial engines for scenario and stress testing • Develop models for performance attribution analysis • Maintain data quality and validation protocols
Requirements: • Bachelor’s degree in a related field or equivalent practical experience • 3–6 years of relevant experience in finance and data • Solid skills in Python and SQL • Comfort with system integrations and APIs • Preferred credentials: CFA, FRM, or MFE
Contribute to financial innovations while developing your expertise in an AI-driven organization.
Our client is on an exciting journey to become AI-driven, requiring engineers to develop vital data solutions for financial operations. The position merges financial engineering and data engineering, focusing on accurate fund accounting and analytics. You will implement calculations and build robust data models critical for portfolio analysis.
Key Responsibilities: • Collaborate on building unified financial data solutions • Implement core calculations with complete auditability • Create financial engines for scenario and stress testing • Develop models for performance attribution analysis • Maintain data quality and validation protocols
Requirements: • Bachelor’s degree in a related field or equivalent practical experience • 3–6 years of relevant experience in finance and data • Solid skills in Python and SQL • Comfort with system integrations and APIs • Preferred credentials: CFA, FRM, or MFE
Contribute to financial innovations while developing your expertise in an AI-driven organization.