onsite
Manager, Institutional Equity Division - QR Client Analytics
Software Engineer
Lead analytics for QR clients in institutional equity, driving algorithmic trading insights, cost optimization, and robust data pipelines to support strategic decision‑making.
About the role
Key Responsibilities
- Design and maintain scalable data processing pipelines that ingest, transform, and analyze large volumes of market and client data.
- Develop and refine algorithmic trading models to enhance execution quality and reduce cost for institutional equity clients.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions, ensuring clear communication of insights and recommendations.
- Perform cost analysis to identify inefficiencies, propose optimizations, and track the impact of implemented changes.
- Lead the continuous improvement of analytics tools, documentation, and best practices within the division.
Requirements
- Proven experience in algorithmic trading and data processing within an institutional equity environment.
- Strong analytical skills with the ability to build and validate statistical models.
- Excellent communication skills, capable of presenting complex findings to both technical and non‑technical stakeholders.
- Hands‑on experience with data pipeline technologies (e.g., SQL, Python, Spark).
- Track record of cost‑saving initiatives and performance measurement.