Full-Time

Quantitative Researcher

Systematic Fixed Income, Client Role

Posted on 9/9/2026

Arootah

Arootah

Compensation Overview

$120k - $140k/yr

Massachusetts, USA

Hybrid

Hybrid work arrangement in Massachusetts.

Bachelor's

Category
Quantitative Finance (1)
Required Skills
Python
Quantitative Research
Machine Learning
Fixed Income Securities
C/C++
Requirements
  • At least 5 years of experience in systematic fixed income research within a hedge fund, asset manager, proprietary trading firm, or sell-side trading environment.
  • A strong quantitative background with a degree in Mathematics, Physics, Engineering, Econometrics, Quantitative Economics, Statistics, or a related discipline.
  • Demonstrated experience researching and developing systematic investment strategies.
  • Strong understanding of statistics, machine learning, and quantitative modeling.
  • Strong programming skills in Python, C++, or another relevant language, with the ability to develop clean and scalable research code.
  • Strong written and verbal communication skills with the ability to explain complex quantitative concepts clearly.
Responsibilities
  • Research, develop, and implement new systematic alpha signals across fixed income markets.
  • Take research ideas from initial concept through testing, validation, implementation, and live trading.
  • Improve strategy monetization with a focus on execution quality and transaction cost efficiency.
  • Analyze trading behavior and market structure across electronic fixed income venues.
  • Apply statistical, machine learning, and quantitative techniques to real-world investment problems.
  • Build scalable research and trading tools to support systematic investment strategies.
  • Partner with portfolio managers, researchers, and technology teams on strategy development and implementation.
  • Clearly communicate research findings, methodology, and investment recommendations to internal stakeholders.
Desired Qualifications
  • Experience in systematic credit is strongly preferred.
  • Familiarity with fixed income market structure and electronic trading venues is a plus.

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