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eFX Quant Trader

🏢 UBS 📍 London, England 💼 Company - Public
Currency:
£42,000 - £65,000
£3,500 - £5,417 / mo
Verified Corporate Employer (Authorized Corporate Employer)

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
Direct corporate benchmark

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.
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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

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Hiring Organization
UBS

Apply for this Position

Location: London, England
Eligibility: Verified Employer Direct Placement
Schedule: Company - Public
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