More jobs:
Equity Derivatives Quant Developer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-15
Listing for:
United States Digital Space LLC
Full Time
position Listed on 2026-06-15
Job specializations:
-
Software Development
Software Engineer, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Quantitative Developer – Equity Derivatives, EMEA
Are you an experienced Quantitative Developer? Do you enjoy innovative thinking? We are seeking an experienced Quantitative Developer to join our Equity Derivatives Quantitative Development (EMEA) team within the company Global Markets.
Responsibilities
- You will be working in a high performing, fast paced, and collaborative team responsible for developing and enhancing the best‑in‑class Equity Derivatives platform, predominantly utilizing low latency Java.
- The team sits within the Global Markets - Principal Flow Trading stream and has a business reporting line.
- You will take ownership of initiatives from initial analysis through to design, implementation and delivery.
- You will proactively suggest and drive improvements to the platform and our framework.
- You will be involved in every aspect of algorithmic trading: designing and building new quoting, execution and risk management flows; designing and building trader tools to improve business workflows and efficiency; market connectivity; latency analysis and optimisation; enhancing the proprietary eTrading framework used across the department.
Your Expertise
- Strong business knowledge of electronic trading; equity derivatives knowledge is a nice to have.
- Proven experience in designing and implementing low‑latency, high‑throughput, event‑driven algorithmic trading platforms.
- Collaboration with quantitative analysts to design and implement algorithmic trading models and controls.
- Experience producing model documentation and partnering with governance and second line of defence functions.
- Advanced Java programming skills including low‑latency techniques like lock‑free data structures and low‑garbage programming.
- Beneficial to have experience with messaging libraries and protocols including Aeron, Kafka, EMS, SBE, FIX.
- Familiarity with time‑series databases (preferably KDB) and Python for building analytics and reports.
- Full stack development experience, particularly for building monitoring dashboards and trader‑facing tools.
- Familiarity with AI native development to accelerate productivity.
Career Comeback
We are open to applications from career returners. Find out more about our program on the
Equal Opportunity Employer
The company is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
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