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24 days ago
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Algorithms and Analytics Quantitative Analyst


UBS
Location: London
Job type: Permanent
Category: Operations Jobs
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Algorithms and Analytics Quantitative Analyst

United Kingdom

Quantitative Analysis

Investment Bank

Job Reference #

232974BR

City

London

Job Type

Full Time

Your role

Are you interested in algorithmic trading? Are you an innovative thinker who enjoys building tools? We’re looking for someone who can:
• Work closely with Electronic Trading, Global Markets front office including equities, ETD, and FX, and Technology to deliver regional and global projects
• Help design and enhance trading algorithms and analytics for the equities, ETD, and FX business
• Analyze the way our clients trade to optimize their interactions with UBS
• Provide execution consultancy on client order flow, including the use of Transaction Cost Analysis
• Research market microstructure and produce analysis for clients

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Your team

You will be working in the front office EMEA Quantitative Analytics and Development team in London. Our role is to provide trading algorithms and execution consultancy for Electronic Trading for equities, ETD, and FX products. Our team is responsible for building top grade, high performance quant trading models, client analytics, and research on market microstructure.

Your expertise

• At least one degree in mathematics, physics, computer science, engineering, or econometrics
• Experience in equities products
• Very good understanding of data exploration and modelling
• Good understanding of model risk and regulations as they pertain to algo trading
• Good understanding of market dynamics and ability to explain, visualize, and work with large volumes of market data
• Ideally, experience designing and building algorithmic trading models, and modelling market microstructure
• Relevant research fields include:
• econometrics applied to large tick data sets
• multi-variate time series analysis and forecasting
• order book dynamics
• Proficient using at least one of Python/Matlab/R
• Able to work in q/KDB (preferably) or SQL
• Knowledgeable in at least one of Java or C++
• Well versed in Computer Science fundamentals and modern software development practices
• UNIX and scripting experience would be an advantage
• Capable of documenting model development and able to communicate with people from different teams in the bank
• Interested in market structure and trading
• A keen learner who enjoys a challenge
Share

Algorithms and Analytics Quantitative Analyst

United Kingdom

Quantitative Analysis

Investment Bank

Job Reference #

232974BR

City

London

Job Type

Full Time

Your role

Are you interested in algorithmic trading? Are you an innovative thinker who enjoys building tools? We’re looking for someone who can:
• Work closely with Electronic Trading, Global Markets front office including equities, ETD, and FX, and Technology to deliver regional and global projects
• Help design and enhance trading algorithms and analytics for the equities, ETD, and FX business
• Analyze the way our clients trade to optimize their interactions with UBS
• Provide execution consultancy on client order flow, including the use of Transaction Cost Analysis
• Research market microstructure and produce analysis for clients

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Your team

You will be working in the front office EMEA Quantitative Analytics and Development team in London. Our role is to provide trading algorithms and execution consultancy for Electronic Trading for equities, ETD, and FX products. Our team is responsible for building top grade, high performance quant trading models, client analytics, and research on market microstructure.

Your expertise

• At least one degree in mathematics, physics, computer science, engineering, or econometrics
• Experience in equities products
• Very good understanding of data exploration and modelling
• Good understanding of model risk and regulations as they pertain to algo trading
• Good understanding of market dynamics and ability to explain, visualize, and work with large volumes of market data
• Ideally, experience designing and building algorithmic trading models, and modelling market microstructure
• Relevant research fields include:
• econometrics applied to large tick data sets
• multi-variate time series analysis and forecasting
• order book dynamics
• Proficient using at least one of Python/Matlab/R
• Able to work in q/KDB (preferably) or SQL
• Knowledgeable in at least one of Java or C++
• Well versed in Computer Science fundamentals and modern software development practices
• UNIX and scripting experience would be an advantage
• Capable of documenting model development and able to communicate with people from different teams in the bank
• Interested in market structure and trading
• A keen learner who enjoys a challenge
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