What are the responsibilities and job description for the Quantitative Researcher - Portfolio Management position at Arootah?
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.
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- 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.
- 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.
$100,000 - $130,000 a year
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.
Salary : $100,000 - $130,000