About Us
MarketAxess is on a journey to digitally transform one of the world’s largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one’s ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we’re going. How we get there is up to us. Join us and help Take Us There.
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The Role
As a Quant Researcher, you will develop data solutions that power both our trading and data businesses, leveraging MarketAxess' proprietary platform data. You will help build out our suite of products including data analytics, our award-winning CP+ pricing, and other AI-driven solutions that address key trading decisions: What, How and When to trade, as well as Who to trade with. Your work will be a combination of long-term and immediate impact projects, with the goal of making the fixed income trading landscape more efficient, transparent, and competitive.
How You’ll Help Take Us There
- Partner with the MarketAxess Global Client and Dealer Sales teams to provide tailored data insights that enhance trading execution for clients and dealers. Act as a trusted partner to the sales teams, empowering them with the quantitative analysis and data-driven solutions needed to support their clients' success and grow MarketAxess' market share in the region.
- Analyzing bond market activity and market micro-structure, including MarketAxess’ proprietary data.
- Take ownership of existing research models and reports like Transaction Costs Analysis, CP+, Tradability and other data products.
- Develop new models and reports.
- Collaborate closely with global product and development teams to enrich client trading solutions.
What We’re Looking For
- 3+ years of experience as a quant or a data scientist within financial services.
- Proficiency in programming languages and tools commonly used for quantitative analysis and data manipulation, such as R, Python, and SQL.
- Deep understanding of fixed income market dynamics and ability to apply quantitative techniques to solve real-world trading problems.
- Strong written and verbal communication skills.
- Experience applying advanced Machine Learning and AI techniques (Deep Learning, Tree based models, Reinforcement Learning).
- Familiarity with cloud computing platforms like AWS and data visualization tools like Tableau is also highly desirable.
What You Can Expect from Us
- Central Location: based at our city offices near St Paul's
- Free Food: We provide lunch each day of the week when the employee attends the office via our vendor Feedr as well as breakfast cereals, office snacks and drinks from our free vending machines
- Paid Time Off: 25 days annual leave entitlement plus 2 charity days
- Reward for your service: We offer a two-week bonus holiday after completing each 5 years of service
- Core benefits: Besides competitive standard benefits package we offer private medical (PMI) for family, Cash Plan, health screenings, dental cover, 6X life assurance, critical illness cover, income protection, pension, car leasing (Tusker electronic cars), reimbursement for wellness stipend, interest free season ticket loan and a “Share Incentive” plan
- Tuition Assistance and Professional Training: Benefit from on-demand learning, boot camps, and opportunities to attend conferences
Collaboration and innovation are integral to our success – it's how we got to where we are and how we’ll maintain and grow our competitive advantage. We believe this best happens in an office environment. Employees in Technology work in the office 2 or more days a week. This approach still allows for flexibility depending on the business function you work within but also helps us maintain a collaborative office environment long-term.