eFX Quant Trader in London

eFX Quant Trader in London

London Full-Time 80000 - 100000 € / year (est.) No home office possible
UBS

At a Glance

  • Tasks: Generate and implement innovative trading models using Python and Java.
  • Company: Join a leading electronic trading team in London with a focus on growth.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional development.
  • Other info: Dynamic team environment with a focus on analytical excellence.
  • Why this job: Make an impact in the fast-paced world of electronic FX trading.
  • Qualifications: Masters in relevant fields and strong programming skills in R or Python.

The predicted salary is between 80000 - 100000 € per year.

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.

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 business based in London. All quant traders across principal electronic trading design systematic trading strategies, run statistical analysis on data and are involved in the productionisation of the strategies within our trading systems.

Your expertise:

  • Masters in Natural Science, Mathematics, Data- or Process Design, or similar education.
  • 5+ years of prior experience in systematic trading (beneficial).
  • Experience in machine learning methods (advantage).
  • Kaggle Master and above (or similar) qualification in public AI/ML platforms.
  • Strong programming skills in R or Python.
  • Attention to detail and keen to contribute in a fast-paced trading environment.
  • Complexity is a challenge and not a problem for you.
  • Analytical flair, high quality awareness, interdisciplinary working style.

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.

eFX Quant Trader in London employer: UBS

UBS is an exceptional employer for eFX Quant Traders, offering a dynamic work environment in the heart of London where innovation and analytical prowess are highly valued. With a strong commitment to employee growth, UBS provides opportunities for continuous learning and development, alongside a collaborative culture that embraces diversity and encourages curiosity. The chance to work on cutting-edge trading systems and contribute to a leading electronic FX Trading offering makes this role both meaningful and rewarding.

UBS

Contact Detail:

UBS Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land eFX Quant Trader in London

Tip Number 1

Network like a pro! Reach out to people in the eFX trading space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python and R projects, especially those related to trading models. This gives you a chance to demonstrate your analytical flair and coding chops.

Tip Number 3

Prepare for interviews by brushing up on your machine learning methods and statistical analysis. Be ready to discuss how you've used these in past roles or projects – it’s all about showing your passion for data!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace eFX Quant Trader in London

Analytical Competences
Python Programming
Java Programming
Statistical Analysis
Systematic Trading Strategies
Machine Learning Methods
Attention to Detail

Some tips for your application 🫡

Show Your Curiosity:Make sure to highlight your passion for data and analytical thinking in your application. We love candidates who are naturally curious and eager to dig deep into data to extract valuable insights.

Tailor Your Experience:When detailing your experience, focus on your systematic trading background and any relevant projects you've worked on. We want to see how your skills align with our eFX trading goals, so don’t hold back!

Programming Skills Matter:Since we’re looking for strong programming skills, be sure to mention your proficiency in Python or R. If you’ve developed models or implemented code, share those experiences to showcase your technical abilities.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at UBS

Show Your Curiosity

Since curiosity is a key trait for this role, make sure to express your passion for data and analytics during the interview. Prepare examples of how you've used your curiosity to solve complex problems or generate innovative ideas in your previous roles.

Demonstrate Your Technical Skills

Be ready to discuss your programming experience in Python and R. Bring along specific projects or models you've developed, and be prepared to explain your thought process and the impact of your work on trading strategies.

Highlight Your Analytical Flair

This role requires a strong analytical mindset. Share instances where you've successfully measured and improved performance metrics in trading systems. Use data-driven examples to showcase your ability to analyse and optimise trading strategies.

Prepare for Complexity

Complexity is part of the job, so be ready to discuss how you approach challenging problems. Think of examples where you've tackled intricate issues in a fast-paced environment, and explain your interdisciplinary working style that helps you navigate these challenges.