Credit Quant Trader

United Kingdom Product Management and Development, Quantitative Analysis Investment Bank

Job Reference #

273766BR

City

London

Job Type

Full Time

Your role

We are seeking a credit quantitative trader to join our fixed income algorithmic trading team within UBS Global Markets. This is a fast paced and collaborative team specialized in the development and management of best-in-class automated strategies in the fixed income space.
The role will be focused on credit e-trading for corporate bonds, ETF and portfolio trading with opportunities to work on other asset class within the fixed income space.

• You will apply data-driven and systematic approach to trading
• You will employ statistical analysis to optimize quoting and risk management strategies
• You will be involved in every aspect of algorithmic trading: designing, back testing, implementing trading strategies and as well tracking performance

You have strong interest in data science, possess strong analytical skills and have a passion for financial markets. You have an advanced scientific degree. You should be experienced in object oriented programming especially Java. Proven experience in similar role is strongly preferred.

Your team

The credit and rates electronic and systematic trading team is at the forefront of innovation in automated trading in fixed income and has a large mandate in the bank, covering government bonds, interest rate swaps and corporate bonds around the globe creating automated and semi-automated strategy. We aim at maximizing automation and driving trading revenues. We're an experienced and highly technical team with strong data analysis and software development skills. The team is diverse and global, and the working environment is challenging but also enjoyable. We are passionate about solving technical problems and we strive for excellence.

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

• Experience in the credit space.
• Excellence in statistical modelling and data science
• Experience in Java or C++ and exposure to event-processing domain.
• Great problem-solving and analytical ability
• A self-starter you can work independently
• Ready for the responsibility of real ownership of project and performance
• Excellent communication skills including the ability to easily understand and explain business, software, and modelling issues
• Excellent interpersonal skills
• A person of integrity, comfortable to challenge and who collaborates naturally
• Knowledge of fixed income market making from previous work in algorithmic trading context.
• Experience in electronic fixed income eco-system: trading venues and protocols

• 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.