Algorithms and Analytics Quantitative Analyst

UBS Financial Services; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services firm in London is seeking a Quantitative Analyst to enhance trading algorithms and analytics. The ideal candidate will possess a strong educational background in computer science or related fields and have experience in algorithmic trading. This role involves collaborating with various teams to optimize trading performance and provide execution consultancy. Join a diverse and inclusive culture that values innovation and flexible working options.

Qualifications

• Experience in designing and building algorithmic trading models.
• Strong foundation in Computer Science fundamentals.

Responsibilities

• Help design and enhance trading algorithms and analytics.
• Analyze client trading patterns to optimize interactions.
• Collaborate with Electronic Trading and IT teams.

Skills

Data Exploration

Modeling Skills

Understanding of Market Dynamics

Big Data Analysis

Deep Learning

Interest in Market Structure

Keen Learner

Education

Doctorate/Master's Degree in Computer Science

Doctorate/Master's Degree in Physics

Doctorate/Master's Degree in Mathematics

Doctorate/Master's Degree in Engineering

Tools

Python

Java

C++

R

MATLAB

KDB

Job description

Algorithms and Analytics Quantitative Analyst

Location: United Kingdom, London

Division: Investment Bank, Quantitative Analysis

Job Reference #: 318539BR

Job Type: Full Time

Your role

Are you interested in algorithmic trading? Are you an innovative thinker and enjoy building a leading trading platform? We’re looking for someone who can:

1. Help design and enhance trading algorithms and analytics for the equities business and beyond.
2. Back test trading strategies across different market regimes.
3. Analyze client trading patterns to optimize their interactions with UBS.
4. Provide execution consultancy on client order flow, including Transaction Cost Analysis.
5. Research market microstructure and produce analysis for clients.
6. Collaborate closely with Electronic Trading, Equity front office, and IT to deliver regional and global projects.

Your team

You will be part of the Algorithms and Analytics team in London, responsible for providing trading algorithms and execution consultancy for electronic trading across all equities and other products. The team builds high-performance quant trading models, researches market microstructure, and optimizes trading performance.

Your expertise

• Doctorate/master's degree in computer science, physics, mathematics, or engineering.
• Experience in designing and building algorithmic trading models and modeling market microstructure.
• Strong data exploration and modeling skills.
• Understanding of market dynamics and ability to visualize large data sets.
• Big data analysis and deep learning skills are advantageous.
• Proficiency in Python, Java, or C++ on Linux and Windows.
• Knowledge of UNIX utilities and shell scripting.
• Familiarity with at least one statistical language (R, MATLAB, etc.).
• Experience with KDB and q is a plus.
• Strong foundation in Computer Science fundamentals and modern software development practices.
• Interest in market structure and trading.
• Keen learner and enjoys challenges.

About us

UBS is the world's largest and only truly global wealth manager, operating in over 50 countries across major financial centers. We serve through four divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management, and the Investment Bank.

Join us

At UBS, our people drive our success. We value diversity, foster an inclusive culture, and support flexible working options. We are committed to disability inclusion and provide reasonable accommodations during our recruitment process.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer, respecting and empowering individuals regardless of background, culture, or perspective.