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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
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