United Kingdom Corridor 🛡️ UK Work Eligibility 🏢 Company - Public

eFX Quant Trader

Salary Range

Salary Disclosed on Application

Full Benefits Package

Verified Corporate Employer (UK Employment Corridor)

This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics

Location Base

London, England

Tier-1 UK Economic Zone

Est. Take-Home Pay

68% - 74% (After PAYE & NI)

Single tax filer baseline

Transatlantic Parity

1.0 GBP ≈ $1.28 USD Living Standard

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Position Overview & Specifications

United Kingdom

Quantitative Analysis, Sales and trading

Investment Bank

Job Reference #

273535BR

City

London

Job Type

Full Time

Your role

Is curiosity part of your DNA? Do you have a passion for extracting information out of data? Our goal is to use analytical competences for optimizing a growing electronic FX Trading offering.

This role involves working within the quant team to build analytics and alerting tools for existing trading models as well as exploring ML/AI approaches to build trading strategies to optimise the business.

Responsibilities:

Generating ideas for enhancements to our current and planned FX trading system. Developing these models in software packages such as python and then implementing the live code in java.
Maintaining a regular cycle of measuring, monitoring, and improving the performance of the FX aspects of our live trading system.

Your team

eFX Quant Trading is a growing team within our Principal Electronic Trading stream within Digital Platforms, based mainly in London. All quant traders across principal electronic trading design models and run statistical analysis on data as well as coding up the live models in java and maintaining our java code
base.

Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.

Your expertise

Masters in Natural Science, Mathematics, Data- or Process Design, or similar education
Prior experience in Big Data, Distributed Computing and/or Cloud Computing
Experience in machine learning methods is an advantage
Kaggle Master and above(or similar) qualification in public AI/ML platforms
Strong programming skills in R or Python
An attention to detail and are keen to contribute in a fast-paced trading environment
Experience in financial services beneficial but not essential
Complexity is a challenge and not a problem for you
Analytical flair, high quality awareness, interdisciplinary working style

LI-GB

About us

UBS is the world’s largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Join us

At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

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.