Java Software Engineer
Posted 5 days ago by Hays
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Java Developer role focuses on enhancing the eFX platform within a fast-paced, collaborative quant development team in Global Markets. The position involves taking ownership of initiatives from analysis to delivery, improving the trading framework, and engaging in algorithmic trading aspects. Candidates should possess strong electronic trading knowledge and advanced Java programming skills. The role is hybrid and based in London, with an immediate start date.
Key Responsibilities:
- Develop and enhance the eFX platform within the quant development team.
- Take ownership of initiatives from initial analysis through to design, implementation, and delivery.
- Proactively suggest and drive improvements to the platform and framework.
- Engage in market connectivity, pricing and execution strategies, and analytics for model performance.
- Conduct latency analysis and optimization.
- Enhance the proprietary eTrading framework used across the department.
Key Skills:
- Strong business knowledge of electronic trading, ideally eFX.
- Proven experience in designing and implementing low-latency, high-throughput algorithmic trading platforms.
- Collaboration with quantitative analysts for algorithmic trading models.
- Advanced Java programming skills, including low-latency techniques.
- Experience with messaging libraries and protocols (e.g., Aeron, Kafka, FIX).
- Familiarity with time-series databases (preferably KDB) and Python.
- Full stack development experience (preferably React) is advantageous.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Role: Java Developer e-Trading
Location: London
Hybrid
Rate: Flexible
Start Date: ASAP
Your role
We are seeking an experienced candidate to join our eFX Quantitative Developer team within Global Markets
This is a fast paced and collaborative team that are responsible for the development and enhancement of the best-in-class eFX platform
The team sits within the Global Markets Principal Flow Trading stream, and has a business reporting line
You will be operating within a high-performing, fast paced quant development team, whose goals are directly aligned to the success of the business
You will take ownership of initiatives from initial analysis through to design, implementation and delivery
You will proactively suggest and drive through improvements to the platform and our framework
You will be involved in every aspect of algorithmic trading:
- Market connectivity
- Designing, implementing and back-testing pricing and execution strategies
- Designing and building analytics to assess model and platform performance
- Latency analysis and optimisation
- Enhancing the proprietary eTrading framework that is used across the department
Your team
A highly technical and innovative quant development team leading automated trading in FX
Part of the Principal Flow Trading Quant Development department, alongside teams aligned to eRates, eCredit, FX Derivatives, Equity Derivatives, and Cash Equities
Focused on maximising automation and performance in order to drive eTrading revenues
Operating in a highly agile manner, releasing to production multiple times per day
Your expertise
Strong business knowledge of electronic trading, ideally eFX
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 of producing model documentation and partnering with governance and second line of defence functions
Advanced Java programming skills including approaches to low-latency Java like lock free data structures and low-garbage programming techniques
Beneficial to have low level experience with messaging libraries and protocols including Aeron, Kafka, EMS, SBE, FIX, ITCH, OUCH
Familiarity with time-series databases (preferably KDB) and Python for building analytics and reports
Full stack development experience is an advantage (preferably React) particularly for building monitoring dashboards and trader-facing tools
This role is advertised Via Hays