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Systematic Fixed Income Jobs (NOW HIRING)

Man Group

Research Analyst

Boston, MA

Purpose of the role Develop and improve quantitative investment strategies in fixed income and credit markets within the Systematic Fixed Income Research team. Support fixed income strategies from ...

Purple Drive Technologies

Data Scientist

Chicago, IL · On-site

Systematic Fixed Income investing experience a plus. Proficiency in at least one programming language, ideally Python, with additional experience in PySpark, SAS , MATLAB, or R being advantageous.

Man Group plc

Research Analyst

Boston, MA

$85K - $100K/yr

Purpose of the role Develop and improve quantitative investment strategies in fixed income and credit markets within the Systematic Fixed Income Research team. Support fixed income strategies from ...

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Systematic Fixed Income information

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$40K

$72.1K

$101.5K

How much do systematic fixed income jobs pay per year?

As of Jun 6, 2026, the average yearly pay for systematic fixed income in the United States is $72,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $78,500.00 per year, depending on experience, location, and employer.

What is Systematic Fixed Income?

Systematic Fixed Income refers to an investment approach that uses quantitative models and algorithms to manage and trade fixed income securities, such as government and corporate bonds. Instead of relying on discretionary decisions, systematic strategies analyze large sets of data to identify patterns and make investment choices. The goal is often to achieve consistent returns, manage risk, and exploit inefficiencies in the bond markets. This approach is widely used by asset managers, hedge funds, and institutional investors seeking diversification and efficiency.

What is the difference between Systematic Fixed Income vs Quantitative Fixed Income Analyst?

AspectSystematic Fixed IncomeQuantitative Fixed Income Analyst
Required credentialsTypically requires degrees in finance, economics, or quantitative fields; certifications like CFA are commonSimilar credentials; often holds advanced degrees in math, statistics, or finance; CFA is also common
Work environmentWorks within asset management firms, hedge funds, or banks focusing on algorithm-driven bond strategiesWorks in investment firms or banks analyzing and developing quantitative models for fixed income securities
Employer and industry usageUsed by firms implementing systematic trading strategies in fixed income marketsUsed by quantitative research teams developing models for fixed income asset management

Systematic Fixed Income professionals focus on implementing algorithm-driven bond strategies, while Quantitative Fixed Income Analysts develop and analyze models to inform investment decisions. Both roles require strong quantitative skills and often overlap in skills and work environment, but their primary focus differs: execution versus model development.

What are the key skills and qualifications needed to thrive as a Systematic Fixed Income professional, and why are they important?

Success as a Systematic Fixed Income professional requires strong quantitative skills, knowledge of fixed income markets, and degrees in fields like finance, mathematics, or engineering. Proficiency with programming languages (such as Python or R), familiarity with portfolio management systems, and experience using data analytics platforms are typically expected. Analytical thinking, attention to detail, and collaborative communication are crucial soft skills for excelling in this role. These competencies enable the design, implementation, and management of data-driven investment strategies that generate consistent returns and manage risk effectively.

What are some common challenges faced by professionals in Systematic Fixed Income roles and how can they be addressed?

Professionals in Systematic Fixed Income roles often encounter challenges such as adapting to rapidly changing market conditions, ensuring the robustness of quantitative models, and integrating diverse data sources. To address these, it's important to maintain ongoing model validation, collaborate closely with risk and technology teams, and stay updated with the latest research and market developments. Additionally, effective communication skills are essential for explaining complex strategies to stakeholders and collaborating with portfolio managers, researchers, and software engineers.
Systematic Fixed Income Portfolio Analyst - Client Role

Systematic Fixed Income Portfolio Analyst - Client Role

Arootah

New York, NY

Full-time

Posted 26 days ago

Job description

About the Role
 
Our client, a leading quantitative investment firm, is seeking a Systematic Fixed Income Portfolio Analyst to support its fixed income and macro investment initiatives. This role offers the opportunity to work alongside experienced portfolio managers, quantitative researchers, and technology professionals in a highly analytical, fast-paced environment.
The ideal candidate is intellectually curious, technically skilled, and passionate about applying data-driven analysis to financial markets. This individual will contribute to portfolio analytics, investment research, risk evaluation, and the ongoing enhancement of systematic investment processes.

Key Responsibilities
  • Support portfolio managers and investment teams through quantitative analysis, portfolio monitoring, and market research. 
  • Develop and maintain analytical tools used for portfolio evaluation and risk assessment. 
  • Analyze large datasets to identify trends, anomalies, and actionable investment insights. 
  • Assist in the implementation and refinement of systematic investment approaches across fixed income markets. 
  • Collaborate with technology and research teams to improve workflow automation and reporting capabilities. 
  • Evaluate portfolio exposures and assist with performance attribution and risk analysis. 
  • Produce reporting materials and investment analytics for internal stakeholders. 
  • Contribute to ongoing research projects related to financial markets, portfolio construction, and investment strategy development.
Qualifications
  • Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, Physics, or another quantitative discipline. 
  • 1–4 years of experience in portfolio analytics, quantitative research, investment management, risk analysis, or financial technology. 
  • Familiarity with fixed income products, macroeconomic analysis, or systematic investment strategies is a plus. 
  • Exposure to machine learning, cloud technologies, or data engineering tools is beneficial.
Compensation will be competitive and commensurate with experience. Bonus eligibility included.
Benefits may include:
  • Medical, Dental, and Vision Insurance 
  • 401(k) Retirement Plan 
  • Paid Time Off and Holidays 
  • Professional Development Opportunities 
  • Performance-Based Incentive Compensation 
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. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.