Systematic Fixed Income Quant – Alpha Signals & Trading

Arootah; Massachusetts; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k) Retirement Plan

Paid Time Off and Holidays

Professional Development Opportunities

Performance-Based Incentive

Job summary

Arootah is seeking a Quantitative Researcher to join its systematic fixed income team. The role focuses on developing quantitative trading strategies, alpha research, signal development, and execution efficiency.

You will work with portfolio managers, researchers, and technologists to identify opportunities, test ideas, and translate research into live trading applications. A strong background in ML, statistics, and programming is required.

Qualifications

• 5+ years of experience in systematic fixed income research across hedge funds, asset managers, or related firms.
• Strong foundation in statistics, ML, and quantitative modeling.
• Experience researching and developing systematic investment strategies.
• Excellent written and verbal communication skills.

Responsibilities

• Research, develop, and implement new systematic alpha signals across fixed income markets.
• Take research ideas from concept through testing, validation, and live trading.
• Improve strategy monetization with focus on execution quality and costs.
• Analyze trading behavior and market structure in electronic fixed income venues.
• Apply statistical and ML techniques to investment problems.
• Build scalable research and trading tools for systematic strategies.
• Collaborate with PMs, researchers, and tech teams on development.
• Communicate research findings and investment recommendations clearly.

Skills

Quantitative research

Machine learning

Statistics

Communication

Education

Mathematics

Physics

Engineering

Econometrics

Statistics

Tools

Python

C++

Job description

Arootah is seeking a Quantitative Researcher to join its systematic fixed income team. The role focuses on developing quantitative trading strategies, alpha research, signal development, and execution efficiency.

You will work with portfolio managers, researchers, and technologists to identify opportunities, test ideas, and translate research into live trading applications. A strong background in ML, statistics, and programming is required.