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Tempest Vane Partners

Java Software Engineer - Algorithmic Trading

Hybrid

London, United kingdom

Full Time

22-10-2025

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Skills

Java SQL Programming Databases SQL Server Azure AWS GCP PostGres

Job Specifications

The Client

My client is a market leading Algorithmic Trading firm based in London, specialising in market making and liquidity provision for Exchange Traded Funds.

The are looking for a Java Software Engineer to join their core Algorithmic Engineering group.

What You'll Get

An opportunity to work in one of the most exciting and fast growing algorithmic trading businesses in the City.
An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
Incredible career progression opportunities with potential access to all areas of the business.
A market leading compensation package including generous basic salary and annual bonus.
Benefits including pension, private healthcare, life assurance and 25 days vacation.

What You'll Do

Designing and implementing algorithmic trading solutions.
Optimising the platform by using network and systems programming, as well as other advanced techniques to minimise latency.
Developing systems that provide easy access to historical market data and trading simulations.
Creating tools to analyse data for patterns.
Building risk-management and performance-tracking tools.

What You'll Need

Strong academic background in STEM discipline
Strong computer science fundamentals in Design, Algorithms & Data Structures
Strong low latency Java engineering skills
Familiarity with databases (e.g. SQL Server, Postgres)
Familiarity with developing, testing, or deploying with a Cloud Server Provider (e.g. AWS, GCP, Azure)

About the Company

Tempest Vane Partners is a specialist recruitment business delivering to Investment Management, Digital Assets and related FinTech businesses in London and New York City. With 20 years of experience covering the financial markets industry TVP offers deep recruitment expertise across Technology, Operations & Quantitative Analytics. Know more