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Systematic Portfolio Manager

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Onsite

Systematic Portfolio Manager

C2R Ventures

Systematic Portfolio Manager

Skills

Big DataPythonMATLABR

2 months ago

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Important information


Contract type:

Permanent

Location:

Boston, MA, USA

Work mode:

Onsite

Published on:

1 September 2026

What they need


The Fixed Income Associate Portfolio Manager role spans a broad spectrum of research, investment, and technical tasks as part of the systematic fixed income team (Credit and Rates).

The successful candidate for this highly competitive position will work closely with a team of other Portfolio Managers and Portfolio Analysts to build and implement investment strategies. This involves both validating the inputs to our models as well as the output from the quantitative signals used to make buy/sell decisions.

The Associate Portfolio Manager will also monitor portfolio risk, analyze portfolio returns, and conduct analysis for strategy improvement and client communications. In addition to the day-to-day implementation of strategies, successful candidates will contribute to research projects in conjunction with the central research team.

Responsibilities include:

  • Work with Portfolio Managers to validate the inputs and outputs of our investment signals and assist with the day-to-day management of the portfolio
  • Analyze the output of our portfolio construction process to ensure the integrity of our investment philosophy
  • Assist research and portfolio management teams with enhancing existing signals and creating new signals
  • Work with large data sets and liaise with outside data vendors to identify data quality issues
  • Design tools for evaluating portfolio implementation and performance
  • Conduct analysis for strategy improvement and client communication

Qualifications

  • Minimum of undergraduate and/or graduate coursework in finance, mathematics, statistics, computer science, economics or accounting.
  • Previous coding experience in Python, Matlab or R necessary.
  • 3+ years of quantitative analysis experience preferred.
  • Solid understanding of accounting and financial statement analysis.
  • Strong programming and statistical analysis skills.
  • Strong work ethic and flexible work schedule.
  • Detail oriented, good communication skills and a collaborative personality.

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