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Quantitative Researcher/Investment Data Scientist – Emerging Market Fixed Income

Job details



Date Posted

10 October 2018



Job Type

Job ID



Competitive Salary + bonus


A leading Asset Management firm are looking to add a Quantitative Researcher to their Emerging Market Fixed Income team.

The role will be responsible for applying data and statistical models to assist the alpha idea generation and fundamental investment process. This position is fully integrated as part of the investment team and will involve consistent interaction with portfolio decision-makers with a chance to have a significant impact of investment decisions.

Key responsibilities:

  • Research and implement new models and use output from models to contribute to alpha idea generation across EM fixed income markets
  • Develop enhancements to existing fixed income, macro econometric and portfolio models
  • Help create new, proprietary datasets on market flows and positioning, creating initial visualisation of this data for Portfolio Managers
  • Conduct platform maintenance and development which includes database design, package development, front-end web apps and maintenance of legacy code using technologies such as SQL, R, Python, Shiny and Docker

Candidate Profile:

  • Programming proficiency with at least one major programming language (R, Python, JavaScript, Docker, Linux)
  • Relevant experience as a quantitative analyst, data scientist or software developer who is interested in applying their skill to macro economics and its impact on EM fixed income markets
  • Aware of the latest developments within the Data Science community and current best practices for software developments
  • Strong communication skills and a “can do” attitude
  • An innovative approach to problem solving
  • Interest in investments and financial markets

Mason Blake acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. Mason Blake is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.



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