UBS
Cash Equities CRB Quant Developer
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Your role
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: Market connectivity Designing, implementing and back-testing hedging, risk management 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
Job Type
Full Time
Job Reference #
339171BR
City
London
Your team
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
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Your expertise
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.
About Us 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.
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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.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS 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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