Electronic Algorithmic Trading Quantitative Analyst

Are you passionate about performing research, analyzing data and coding up improvements to complex algorithmic trading strategies? We're looking for someone to analyze, adapt and improve the quantitative performance of UBS's suite of agency algorithmic trading and smart order routing strategies.

The successful candidate will primarily: perform thorough research on areas such as market microstructure and market impact analysis. perform Transaction Costs Analysis (TCA) to minimize executions costs. improve consistency of algo performance and reduce outliers and risk, particularly during significant unscheduled as well as scheduled events e.g. index rebalance events. design and spec new trading strategies with a particular focus on low latency trading strategies. analyze trading patterns and trends within market data (L2 or L3 format). employ modern data analytical tools such as machine learning but in a controlled and practical way. adapt algorithms to adjust to new markets, venues, order types, asset classes and regulation. generate intraday trading signals and volume forecasts from microseconds to minutes. communicate with internal stakeholders and external clients and vendors to understand business requirements and market trends. produce analytics and reports to monitor and benchmark trading performance both internally and for clients, You'll be working in the Quantitative Analysis & Development team in New York. The team is responsible for providing best in class, execution trading algorithms, smart order routing (SOR) and direct market access products for a large number of global clients based both internally and externally across predominantly Cash Equities but also ETD and FX asset classes.

ideally 2+ years of experience with Algorithmic Trading Strategies, Smart Order Routing and Data Analysis for single stock and portfolio trading. proven background in quantitative analysis and development with a degree in Computer Science, Mathematics, Engineering or related discipline (PhD preferred but not a pre-requisite). working knowledge of Java (other languages considered) proficient in data analysis using statistical software packages such as Python or equivalent experience analyzing tick series market data via KDB / Onetick and extracting data via e.g. SQL knowledge of US cash equity market microstructure with an understanding of low latency trading strategies preferred but not essential. proficient with visualization tools such as Tableau or Power BI. strong written and verbal communication skills in English to produce comprehensive business requirement specification and model risk documents knowledge of L3 market data and orderbook mechanics also a plus

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.