Quantitative Researcher – Fixed Income

CW Talent Solutions

England

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Job summary

A leading global investment firm in London is seeking a Quantitative Researcher to focus on fixed income research. This role involves developing predictive models, conducting research to uncover market inefficiencies, and collaborating with technologists. Ideal candidates should have a strong academic background in quantitative disciplines and experience with Python, R, or C++. Applications can be sent to sean@cwtalentsolutions.com.

Qualifications

  • Strong academic track record and demonstrated research skills.
  • Interest or experience in fixed income products (Rates, Credit, Sovereign, or Corporates).

Responsibilities

  • Design and develop quantitative signals across fixed income markets.
  • Conduct original research using large-scale datasets.
  • Build and backtest models for live trading environments.

Skills

Python
R
C++
Quantitative Analysis

Education

Bachelor's, Master's, or Ph.D. in Mathematics, Computer Science, Physics, Engineering, or Financial Engineering

Job description

Quantitative Researcher – Fixed Income (London)

CW Talent Solutions is partnering with a leading global investment firm to hire a Quantitative Researcher focused on fixed income research. This is an exciting opportunity to work at the forefront of systematic investing, developing predictive models across rates, credit, and related fixed income markets in a dynamic, research-driven environment.

Key Responsibilities
  • Design and develop quantitative signals (alphas) across fixed income markets
  • Conduct original research using large-scale datasets to uncover market inefficiencies
  • Build and backtest models to evaluate performance in live trading environments
  • Collaborate with researchers and technologists to integrate signals into systematic strategies
Preferred Experience
  • Bachelor’s, Master’s, or Ph.D. in Mathematics, Computer Science, Physics, Engineering, or Financial Engineering
  • Experience in Python, R, or C++ for data processing, modeling, and visualization
  • Strong academic track record and demonstrated research skills
  • Interest or experience in fixed income products (Rates, Credit, Sovereign, or Corporates) is a significant advantage
  • Independent thinker with methodical problem-solving skills and strong communication

For applications or more information: sean@cwtalentsolutions.com

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