Quantitative Global Equity Analyst

Federated Hermes Limited; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Federated Hermes Limited is seeking a Quantitative Analyst to develop a scalable quantitative platform, manage data pipelines and automate recurring tasks using AI capabilities. You will support portfolio managers on the Quantitative Global Equity team and contribute to the Macro, Risk & AI initiatives by delivering repeatable, reliable analytics and production-ready solutions.

The role emphasizes data quality, model governance, and collaboration with enterprise data teams, researchers and

Qualifications

• Strong academic credentials in maths, statistics or accountancy with STEM degree 2:1+.
• Clear written and oral communication skills.
• Proficiency in Python with pandas/NumPy; experience with SQL and Databricks.

Responsibilities

• Develop and maintain quantitative investment systems across construction, risk, trading and performance.
• Collaborate with portfolio managers, researchers and traders to deploy models to production.
• Design/manage data pipelines for market, security, portfolio and alternative data; ensure quality and controls.
• Implement and backtest models, analytics, risk models, forecasts and portfolio simulations.
• Enhance the quantitative research platform with reusable components and efficient tooling.
• Uphold software engineering standards, governance, testing and change management.

Skills

Python

Pandas/NumPy

SQL

Databricks

Communication

Equity markets

Version control

Testing

Education

STEM degree 2:1+

Tools

Databricks

Git

Job description

Federated Hermes Limited is seeking a Quantitative Analyst to develop a scalable quantitative platform, manage data pipelines and automate recurring tasks using AI capabilities. You will support portfolio managers on the Quantitative Global Equity team and contribute to the Macro, Risk & AI initiatives by delivering repeatable, reliable analytics and production-ready solutions.

The role emphasizes data quality, model governance, and collaboration with enterprise data teams, researchers and