Quantitative Researcher – Systematic Fixed Income – Client Role

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

About The Role

Our client, a leading global alternative investment manager, is seeking a Quantitative Researcher to join its systematic fixed income investment team. This role will focus on developing and improving quantitative trading strategies across fixed income markets, with particular emphasis on alpha research, signal development, and execution efficiency.

The successful candidate will work closely with portfolio managers, researchers, and technologists to identify new investment opportunities, improve existing strategies, and translate research into live trading applications.

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

Qualifications & Preferred Experience

• 5+ years of experience in systematic fixed income research within a hedge fund, asset manager, proprietary trading firm, or sell-side trading environment.
• 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.
• Experience in systematic credit is strongly preferred.
• Strong programming skills in Python, C++, or another relevant language, with the ability to develop clean and scalable research code.
• Familiarity with fixed income market structure and electronic trading venues is a plus.
• Strong written and verbal communication skills with the ability to explain complex quantitative concepts clearly

Additional Information

We may use artificial intelligence (AI) tools to support portions of the hiring process, including resume review and candidate evaluation. These tools assist our recruiting team but do not replace human decision-making. Final hiring decisions are made by human reviewers.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Compensation will be competitive and commensurate with experience. In addition to base salary, the position is eligible for a discretionary annual bonus.

Benefits may include:

• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Paid Time Off and Holidays
• Professional Development Opportunities
• Performance-Based Incentive Compensation