Product Quant

21938
  • £70,000 - £85,000
  • London, - None Specified -
  • Permanent
  • Quantitative Finance

Fixed Income Quantitative Analyst

Location: London (Hybrid / Work from Home)

Salary: £65,000 - 85,000 base + bonus.

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.

 

Desirable:

  • 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.
Lucia Paolinelli Senior Recruitment Consultant

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