Quantitative Researcher - Portfolio Management

Role Overview

Our client, a top-tier quantitative investment firm, is looking to hire a Systematic Fixed Income Portfolio Analyst to bolster their fixed income and macro investment strategies. This position provides a chance to work closely with seasoned portfolio managers, quantitative analysts, and technology specialists in a rigorous and dynamic environment.

Key Responsibilities

• Provide quantitative support to portfolio managers and investment teams through data analysis, portfolio supervision, and market study.
• Create and sustain analytical instruments for portfolio evaluation and risk assessment.
• Examine extensive datasets to discover patterns, irregularities, and relevant investment opportunities.
• Assist in deploying and refining systematic investment methodologies focused on fixed income sectors.
• Partner with technology and research departments to enhance process automation and reporting systems.
• Assess portfolio risk exposures and support analysis of performance contributions.
• Generate s comprehensive reports and analytical materials for internal stakeholders.
• Participate in ongoing research concerning financial markets, portfolio structuring, and the development of investment strategies.

Qualifications

• Holds a Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, Physics, or a related quantitative field.
• Between 1 and 4 years of experience in areas such as portfolio analytics, quantitative research, investment management, risk evaluation, or financial technologies.
• Knowledge of fixed income instruments, macroeconomic analysis, or systematic investment approaches is advantageous.
• Experience with machine learning, cloud computing technologies, or data engineering tools is considered a plus.

Additional Information

The recruitment procedure may incorporate artificial intelligence tools to assist with application processing, resume analysis, and evaluation of responses to detect inconsistencies or verify information. However, these tools complement rather than replace human judgment, which is integral to final hiring decisions.

Compensation is designed to be competitive and aligned with experience, including eligibility for bonuses.

Benefits

• Medical, Dental, and Vision health benefits.
• 401(k) retirement savings plan.
• Paid personal leave and recognized holidays.
• Opportunities for professional growth and learning.
• Incentive compensation based on performance.

AI technology may be engaged during recruitment phases to support resume reviews and candidate assessments, yet human decision-makers retain ultimate authority in hiring selections.