Quantitative Analyst/Researcher, Fixed Income, Asset Management, London

Logan SinclairLondon🇬🇧United KingdomPosted 2 Oct 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape the future of quantitative research in fixed income, leveraging cutting-edge technologies and collaborating with a dynamic team to drive investment decisions. You'll thrive here if you possess a strong quantitative background, a passion for financial markets, and a drive to build robust, scalable solutions that directly impact institutional clients. Apply now to advance your career in a prestigious asset management firm!

Quick Overview

Seniority

Mid Senior

Employment type

Full Time

Work mode

Hybrid

Location

London, United Kingdom

Posted

5 days ago

Job Description

Responsibilities

Build and evolve quantitative infrastructure and models to support investment decisions across currencies, fixed income, and derivatives
Design, enhance and maintain portfolio optimisation and construction tools (e.g. Black-Litterman)
Develop front-office risk, valuation and performance attribution frameworks
Migrate legacy Excel/VBA processes to robust, scalable solutions (e.g. MATLAB/SQL/Python)
Support major institutional presentations with rigorous analysis and clear explanations
Partner with PMs, system analysts and developers to improve front-office tools and data pipelines
Produce and present ad hoc quantitative research to portfolio managers and clients

Requirements

Strong quantitative degree (mathematics, physics, statistics or financial engineering)
Previous directly relevant experience in a front-office quant or similar role
Proficiency in two or more of: MATLAB, Python, VBA, JavaScript, SQL/database design
Experience delivering portfolio optimisation, risk, and performance attribution models
Practical experience building production-quality code and improving model infrastructure
Solid understanding of financial markets and fixed income, currencies, and derivatives
Analytical, detail-focused thinker who reasons from first principles.
Clear communicator who collaborates well and can work autonomously