Revolut
Senior Fixed Income Research Analyst (Quant Researcher)
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About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.
As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Our Wealth & Trading team is at the forefront of redefining how people invest, using data-driven tools to make smarter financial decisions accessible to everyone. We operate with precision and expertise, building cutting-edge solutions that empower customers worldwide.
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We’re looking for a Senior Fixed Income Research Analyst (Quant Researcher) to bridge the gap between alpha generation and execution engineering. You’ll be leading the development of systematic predictive models for corporate bonds and credit default swaps, and designing optimal execution and basket-selection strategies.
Up to shape what’s next in finance? Let’s get in touch.
What you'll be doing
- Leading the development of systematic predictive models and strategies for corporate bonds and credit default swaps
- Integrating macroeconomic trends and sector-specific insights into the portfolio engine
- Designing and implementing fixed income portfolio construction and optimisation frameworks
- Collaborating with engineers to design, test, and refine algorithms for automated execution workflows
- Conducting hypothesis testing and backtesting to validate model accuracy, performance, and transaction costs
- Managing practical execution specifics, including liquidity sourcing, market impact, and transaction costs
- Ensuring full compliance with regulatory standards, portfolio risk limits, and financial promotions
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What you'll need
- 5+ years of experience in quantitative investment research and systematic portfolio construction for fixed income
- An in-depth understanding of corporate credit market microstructure and OTC bond liquidity constraints
- Solid knowledge of quantitative and statistical tooling applied to systematic investment decisions
- Advanced programming skills in Python and its scientific data stack
- A proven track record of handling transaction cost analysis, tracking error modelling, and risk attribution
- An educational background in STEM
Nice to have
- Experience designing long-short strategies or execution specifics for systematic bond portfolios
- Familiarity with the ETF ecosystem, index replication methodologies, and basket optimisation
- A CFA qualification or significant progress toward the certification
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