A leading hedge fund is undertaking a full rebuild of its Equities PnL platform.
This is a greenfield engineering mandate where you will take a critical equities system from blueprint through delivery, building the core Python components that power trade booking and transactional PnL across the desk.
The project:
- Lead the Python build of a next-generation equities transactional PnL system
- Engineer scalable, high-integrity data pipelines across trade lifecycle events
- Model corporate actions, adjustments and booking flows accurately at scale
- Deliver production-grade code designed for longevity and global usage
Technical profile:
- 8+ years’ Python experience at production scale
- Strong command of Pandas, Polars and NumPy for heavy data workloads
- Exposure to AI-assisted coding tools (e.g. Claude Code) advantageous
- Front-end experience (Angular or similar) beneficial but not required
- Hands-on exposure to Equities trade lifecycle
- Experience with PnL mechanics
- Real-world booking flows and downstream financial impact
Why this role?
- Core build ownership of a revenue-critical platform
- Direct interaction with senior business stakeholders
- Clean architectural runway with no legacy constraints
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