Java Quant Developer

Location London
Discipline: Financial Technology
Job type: Permanent
Contact name: Adam Harris

Contact email:
Job ref: 1856
Published: 8 months ago

Title: Quant Developer - Java

Location: Hybrid, London 

Salary: £80-100k base salary + bonus

Our client, a leading provider of Embedded, Managed Technology Services for Brokers of OTC Products & Derivatives, is seeking a skilled Quantitative Developer to join their dynamic team. As a technology-focused company, our client empowers brokers to expand their trading product offerings to retail traders through their proprietary market-making (MM) and liquidity provision (LP) technology stack. They prioritize long-term growth and foster lasting relationships with their partners in the trading ecosystem.

Your Opportunity:

  • Design, develop, and deploy sophisticated software solutions for research, alpha & signal generation, and systematic trading
  • Create analytical libraries and tools utilizing both open-source and proprietary numerical software packages
  • Collaborate with cloud infrastructure providers to address storage and compute challenges related to large datasets and parallel computations
  • Partner closely with the CTO, investment professionals, and quantitative researchers to define priorities, deliver customized software solutions, and enhance the trading process
  • Receive structured learning opportunities to enhance technical and quantitative skills
  • Build automated ETL pipelines to facilitate the controlled transition from research to live trading
  • Conduct feature selection research using alternative datasets

Your Skills & Talents:

  • A passion for technology, software development, and mathematics
  • Proficiency in Java
  • Must have prior experience in Quantitative Development
  • Experience in Distributed Computing, Machine Learning, Platform Development, Networking, and System Design
  • Experience with low latency trading/high frequency trading
  • Exceptional quantitative and analytical skills
  • Strong written and verbal communication skills
  • Bachelor's, Master's, or PhD degree in Computer Science, Mathematics, Statistics, or a related field