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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 salary, 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 in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fixed Income Quant Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analytics projects. Use platforms like GitHub to share your work, especially if you've used Python or QuantLib. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with fixed income products and how you've tackled challenges in previous roles. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Fixed Income Quant Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fixed income and quantitative finance. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've used, especially Python and QuantLib.
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 you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Since this role involves prototyping analytics, make sure to mention any specific projects where you've used Python or financial libraries. We’re keen to see your hands-on experience, so don’t hold back on the details!
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 serious about joining our team!
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 previous projects where you've used Python, particularly with libraries like QuantLib. If possible, be ready to solve a coding challenge during the interview.
✨Collaborate Like a Pro
This role involves working closely with sales and technology teams, so highlight your teamwork skills. Share specific examples of how you’ve collaborated with different stakeholders to deliver analytics that meet client needs. Communication is key!
✨Stay Current with Regulations
Familiarise yourself with current regulatory requirements related to fixed income analytics. Being able to discuss how you’ve supported regulatory reporting or volume analysis projects will set you apart and show your commitment to compliance in your work.
