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- Tasks: Develop and validate quantitative models for fixed income products using Python.
- Company: Fast-growing, tech-driven financial data firm with a collaborative culture.
- Benefits: Hybrid work options, competitive pay, and bonus potential.
- Why this job: Make a real impact on client decision-making in a technology-first environment.
- Qualifications: 2-5 years in fixed income or quantitative finance; strong Python skills required.
- Other info: Join a small, dynamic team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
I am on the lookout for a Fixed Income Quantitative Analyst for a fast-growing, technology-driven financial data firm that provides cloud-native analytics and APIs for fixed income markets. They aggregate, normalise, and enrich bond, swap, and ETF data to help clients across trading, sales, research, and risk management make data-driven decisions. Their small, collaborative team combines quantitative research, product development, and client-focused insights to deliver actionable analytics.
Role Overview: They are seeking a hands-on Fixed Income Quantitative Analyst to join their product team. The successful candidate will prototype and validate analytics for fixed income products, converting raw market data into actionable metrics such as yields, spreads, and risk measures. The role is focused on analytics and modelling and involves working closely with sales, technology, and product teams to ensure accurate, insightful outputs for clients.
Key Responsibilities:
- Develop and validate quantitative models and analytics for fixed income instruments, including ETFs and bonds.
- Prototype analytics using Python (Jupyter notebooks) and libraries such as QuantLib or similar.
- Translate market and product requirements into analytical workflows.
- Collaborate with sales and technology teams to ensure analytics meet client and regulatory needs.
- Support short-term regulatory reporting or volume analysis projects as required.
Required Skills & Experience:
- 2–5 years’ experience in fixed income or quantitative finance, ideally with product/ETF exposure.
- Strong Python programming skills; experience with QuantLib or equivalent financial libraries is essential.
- Proven ability to develop and validate quantitative models and analytics.
- Comfortable working in a small, fast-paced team, independently driving projects.
- Strong communication skills for collaboration with multiple stakeholders.
- Academic background in quantitative finance, mathematics, physics, or related fields.
- Experience prototyping analytics for trading, research, or sales support.
- Interest or experience in regulatory and reporting analytics.
Why This Role:
- Work in a technology-first environment, building analytics that directly impact client decision-making.
- Hybrid / flexible work-from-home arrangements.
- Competitive compensation with bonus potential.
- Opportunity to help shape and grow the product stream within a fast-growing firm.
If you are passionate about fixed income, quantitative analytics, and hands-on product development, they are keen to hear from you.
Fixed Income Quant Analyst employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fixed Income Quant Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to fixed income analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your quantitative finance knowledge and be ready to discuss your past projects. We want to see how you think and solve problems!
✨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!
We think you need these skills to ace Fixed Income Quant Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Fixed Income Quant Analyst role. Highlight your experience with quantitative models and Python programming, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fixed income analytics and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Since this role involves prototyping analytics using Python and libraries like QuantLib, make sure to mention specific projects or experiences where you've used these tools. We’re keen to see your technical prowess in action!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Harrington Starr
✨Know Your Numbers
Brush up on your quantitative finance knowledge, especially around fixed income instruments like bonds and ETFs. Be ready to discuss how you’ve developed and validated models in the past, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Python Skills
Since strong Python programming skills are essential, prepare to demonstrate your proficiency. Bring examples of your work with Jupyter notebooks or libraries like QuantLib. You might even want to walk through a small coding challenge if they ask!
✨Collaborate Like a Pro
This role involves working closely with sales and technology teams, so be prepared to discuss how you’ve successfully collaborated in the past. Share specific examples of how you translated market requirements into analytical workflows and how you ensured your outputs met client needs.
✨Stay Current on Regulations
Since the job mentions regulatory reporting, it’s a good idea to brush up on any recent changes in regulations that could impact fixed income analytics. Showing that you’re informed about the regulatory landscape will demonstrate your commitment to compliance and client-focused insights.
