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 strategiesDesigning 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
If you are interested, please hit apply and one of our colleagues will be in touch to discuss.