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Python Developer

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Summary

Senior Python consultant embedded in a global multi-strategy hedge fund's Equities Core Technology team in NYC, building scalable post-trade event processing, data transformation, and P&L streaming services using Python, pandas/Polars/NumPy, FastAPI/Flask, and Kafka with Avro schemas.

Our client, a Global Multi-Strat Hedge Fund, is looking for a Senior Python Consultant based in NYC to support their Equities Core Technology team.


Responsibilities:

• Design and develop scalable solutions for trade lifecycle event processing, including corporate actions, expiries and other post-trade events.

• Build and operate Python-based services for large-scale data transformations, calculations and reconciliations.

• Publish and distribute transaction and P&L data through Kafka using Avro-based schemas and streaming patterns.

• Partner with Middle Office, Operations and Core Technology teams to understand post-trade workflows, operational requirements and strategic priorities, translating them into practical technology solutions.

• Deliver software iteratively using modern engineering practices, including automated testing, code review, version control, CI/CD, orchestration and AI-assisted development tools.


Experience Required:

• 7+ years of professional Python development experience in capital markets, hedge fund, fintech or a related financial-services environment, including large-scale data calculations using pandas, Polars and NumPy.

• Demonstrated experience delivering equity post-trade or trade-capture solutions, including corporate actions, trade lifecycle workflows and P&L calculations.

• Experience building REST services with FastAPI and/or Flask and working with SQL and relational databases in production.

• Experience with Kafka or comparable streaming and messaging platforms, including Avro or other schema-based event publishing.

• Strong understanding of modern SDLC practices, including testing, CI/CD, release management, observability and operational ownership; experience with Docker, Kubernetes, cloud platforms, Angular, TypeScript or Ag-Grid is a plus.

• Experience partnering with Middle Office, Operations and business stakeholders, with the ability to clarify requirements and explain technical concepts to non-technical audiences.


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