Lead Equities Quant Platform Engineer (Python) – Hybrid

citi.com; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A global financial institution is looking for an Engineering Lead for its Quantitative Development Platform in London. This role involves guiding the technical direction, championing engineering excellence, and mentoring junior engineers. Ideal candidates should have extensive experience with Python data engineering, high-performance data stores, and real-time analytics. The position offers a competitive salary, 27 days of annual leave, and a hybrid work model, supporting a balance between remote and office work.

Benefits

27 days annual leave

Annual performance related bonus

Private Medical Care & Life Insurance

Pension Plan

Special discounts for employees

Qualifications

• Extensive background in production-grade, data-centric applications.
• Experience with enhancing developer experience in API deployment.
• Knowledge in generative AI prompt engineering and RAG pipelines.

Responsibilities

• Guide technical direction and implementation of the platform.
• Champion engineering excellence and mentor junior engineers.
• Architect scalable, secure reusable components.

Skills

Python data engineering stack

High-performance data stores

Real-time streaming analytics technologies

Cloud container technologies

Full-stack HTML5 web development

Tools

Kafka

Docker

Kubernetes

AWS

Azure

GCP

Starburst

Snowflake

Job description

A global financial institution is looking for an Engineering Lead for its Quantitative Development Platform in London. This role involves guiding the technical direction, championing engineering excellence, and mentoring junior engineers. Ideal candidates should have extensive experience with Python data engineering, high-performance data stores, and real-time analytics. The position offers a competitive salary, 27 days of annual leave, and a hybrid work model, supporting a balance between remote and office work.