Senior Quant Platform Engineering Lead - Python (Equities)

PowerToFly; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading global bank in London is seeking an Engineering Lead to develop high-impact quantitative trading tools. The role involves architecting scalable components and mentoring engineers, with a focus on data-centric applications and cloud technologies. Candidates should have extensive experience in the Python ecosystem and a proven track record in enhancing developer experiences. This position offers a hybrid working model and a competitive benefits package including annual leave and medical care.

Benefits

27 days annual leave

Performance related bonus

Private Medical Care

Pension Plan

Paid Parental Leave

Employee Assistance Program

Qualifications

• Extensive experience in building data-centric applications for quantitative trading.
• Proven track record of enhancing developer experience.
• Hands-on approach to coding and mentoring junior engineers.

Responsibilities

• Drive the development of quantitative tools for Equities Cash and Derivatives.
• Architect secure, scalable components and mentor team members.
• Stay updated with open-source trends to improve business outcomes.

Skills

Python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray)

High-performance data stores (Starburst, Snowflake)

Real-time streaming analytics (Kafka, Flink)

Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes)

Full-stack HTML5 web development

Job description

A leading global bank in London is seeking an Engineering Lead to develop high-impact quantitative trading tools. The role involves architecting scalable components and mentoring engineers, with a focus on data-centric applications and cloud technologies. Candidates should have extensive experience in the Python ecosystem and a proven track record in enhancing developer experiences. This position offers a hybrid working model and a competitive benefits package including annual leave and medical care.