UBS is a Swiss banking group active in wealth management, asset management and investment banking, also providing banking to individuals and businesses in Switzerland.
Equity Quantitative Developer
UBS is looking for a quantitative developer for its Cash Equities Quantitative Developer team within Global Markets in London. The role focuses on developing algorithmic trading platforms, optimising latency and designing hedging, risk management and execution strategies. Strong Java skills, particularly in low-latency techniques, and experience with high-throughput event-driven platforms are required.
Job details
The full description published by UBS.
Description de l’offre
- We are seeking an experienced candidate to join our Cash Equities CRB Quantitative Developer team within UBS Global Markets
- This is a fast paced and collaborative team that are responsible for the development and enhancement of the best-in-class Cash Equities 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: o Market connectivity o Designing, implementing and back-testing hedging, risk management and execution strategies o Designing and building analytics to assess model and platform performance o Latency analysis and optimisation o Enhancing the proprietary eTrading framework that is used across the department
- A highly technical and innovative quant development team leading automated trading in Equities
- Part of the Principal Flow Trading Quant Development department, alongside teams aligned to eRates, eCredit & eFX
- 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
- Advanced Java programming skills including approaches to low-latency Java like lock free data structures and low-garbage programming techniques.
- Proven experience in designing and implementing low-latency, high-throughput, event-driven algorithmic trading platforms.
- Strong business knowledge of electronic trading, ideally Cash Equities and EU / US / Asia market structure.
- Collaboration with quantitative traders to design and implement algorithmic trading models and controls.
- Experience of producing model documentation and partnering with governance and second line of defence functions.
- 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.
- You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use. •
Li-gb ubs
is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers .
Requirements
- Advanced Java programming skills
- low-latency, high-throughput, event-driven algorithmic trading platforms
- Strong business knowledge of electronic trading
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