Quant Engineer: Python & Data Pipelines (Hybrid)

PVH (Tommy Hilfiger/Calvin Klein); Greater London; Hybrid; GBP 120,000 - 190,000; Part time

Benefits offered by this job

Hybrid working in London

Initial contract opportunity

Job summary

PVH (Tommy Hilfiger/Calvin Klein) London seeks a quant developer with a strong software engineering background to join a leading systematic equity platform. The role focuses on Python services, ETL pipelines and cloud-based infrastructure in a hybrid, London-based environment.

You will work with portfolio managers and researchers to deliver scalable research tools, improve production quality and deployment practices, and enhance data-driven investment workflows.

Qualifications

• 5+ years in Quant Development, Software or Data Engineering.
• Excellent Python development skills for production systems.
• Experience building ETL pipelines and financial data platforms.
• Strong Azure experience with cloud-based infrastructure.
• Docker and Kubernetes proficiency; CI/CD with GitHub Actions.
• Experience delivering cloud-native research or production platforms.
• Familiarity with market data, data vendors and security master data.
• Background in systematic or quantitative equities.
• Ability to work closely with portfolio managers and researchers.
• Nice-to-have: Xpressfeed, Snowflake, Bloomberg, MSCI Barra, Databricks; LLMs.

Responsibilities

• Design and develop Python applications and services for front-office use.
• Build and maintain scalable ETL processes and data pipelines.
• Develop cloud-based quantitative research and production infrastructure.
• Integrate multiple financial data vendors and datasets.
• Create research-ready datasets for researchers and PMs.
• Support deployment, testing and engineering standards across the platform.
• Collaborate with investment professionals to deliver scalable tooling.

Skills

Quantitative Development

Software Engineering

Data Engineering

Python development

ETL processes

Cloud-native platforms

Production-grade systems

Collaboration with PMs/researchers

Financial data pipelines

Market data experience

Quant equities experience

Portfolio manager collaboration

Tools

Azure

Docker

Kubernetes

Apache Airflow

GitHub / CI/CD

GitHub Actions

Databricks

Snowflake

Bloomberg

MSCI Barra

Job description

PVH (Tommy Hilfiger/Calvin Klein) London seeks a quant developer with a strong software engineering background to join a leading systematic equity platform. The role focuses on Python services, ETL pipelines and cloud-based infrastructure in a hybrid, London-based environment.

You will work with portfolio managers and researchers to deliver scalable research tools, improve production quality and deployment practices, and enhance data-driven investment workflows.