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- Tasks: Join a fast-paced team to develop and enhance a top-tier eFX trading platform.
- Company: UBS, the world's largest global wealth manager with a collaborative culture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make a real impact in algorithmic trading and drive innovation in finance.
- Qualifications: Experience in electronic trading and advanced Java programming skills required.
- Other info: Collaborative and diverse team focused on automation and performance.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced candidate to join our eFX Quantitative Developer team within UBS Global Markets. This is a fast paced and collaborative team that is 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
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. The team is known for being collaborative and diverse, with a mandate to deliver meaningful change.
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
UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal.
eFX Quantitative Developer employer: UBS
Contact Detail:
UBS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land eFX Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to current employees at UBS or in the eFX space on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. It’s a great way to demonstrate your expertise in low-latency programming and algorithmic trading.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Java skills and understanding of algorithmic trading concepts. Practice coding challenges that focus on low-latency solutions to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our innovative team.
We think you need these skills to ace eFX Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the eFX Quantitative Developer role. Highlight your experience with algorithmic trading and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Technical Skills: Don’t hold back on showcasing your advanced Java programming skills and any experience with low-latency systems. We’re looking for candidates who can hit the ground running, so let us know what you’ve got!
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your achievements and experiences. We appreciate a well-structured application!
Apply Through Our Website: Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at UBS
✨Know Your Tech Inside Out
Make sure you brush up on your Java programming skills, especially low-latency techniques. Be ready to discuss your experience with messaging libraries and time-series databases like KDB. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Collaboration Skills
Since this role involves working closely with quantitative analysts, be prepared to share examples of past collaborations. Highlight how you’ve contributed to algorithmic trading models and any successful projects where teamwork made a difference.
✨Understand the eFX Landscape
Familiarise yourself with the electronic trading environment, particularly in FX. Being able to discuss current trends, challenges, and innovations in eFX will show that you’re not just technically skilled but also knowledgeable about the industry.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical problems during the interview. Practice explaining your thought process clearly and concisely. This is your chance to showcase your analytical skills and how you approach complex issues in algorithmic trading.
