Quantitative researcher - New York

Capital Fund Management (CFM)

$170K — $195K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in finance, economics, or theoretical sciences (e.g., mathematics, physics, statistics)
  • Post-PhD experience in academic or private sector research
  • Strong interest in finance and macroeconomics
  • Experience handling large datasets
  • Proficiency in Python programming
  • Adaptable and rigorous, with the ability to thrive in a fast-paced environment
  • Excellent teamwork and communication skills

Responsibilities

  • Scout various datasets to identify valuable insights
  • Formulate innovative investment hypotheses based on macroeconomic intuition
  • Assist in onboarding new datasets to validate or challenge investment ideas
  • Conduct rigorous statistical tests, including backtesting
  • Implement actionable robust trading insights into production

Benefits

  • Competitive benefits package
  • Variable compensation based on performance
  • Collaborative work environment with over 100 researchers
  • Opportunity to explore innovative investment strategies
  • Commitment to diversity and equal opportunities
Full Job Description
ABOUT CFM

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients.
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.

ABOUT THE ROLE

The position involves extracting insights from a vast array of datasets (e.g. traditional financial data, but also exotic alternative datasets) to develop sophisticated trading models grounded in macroeconomic intuition. The aim is to build new strategies, to supplement those already devised and implemented by CFM. You will be working in a team of more than 100 researchers in close collaboration with data and software engineers.

The work will consist in:
  • Scouting datasets;
  • Formulating new investment hypotheses;
  • Helping to onboard new datasets that can validate (or invalidate) these ideas;
  • Rigorously carrying out statistical tests (including backtests)
  • Implementing the additive robust trading insights into production.

The candidate should be both creative, in order to imagine new ways of detecting hidden statistical patterns, and rigorous.

Base salary 170k-195k USD depending on experience

+ variable compensation

+ competitive benefits package

IDEAL CANDIDATE
  • PhD in finance, economics or theoretical science (mathematics, physics, statistics, life science, etc.)
  • Post PhD experience (academic or private sector research),
  • Strong interest in finance and macroeconomics.
  • Experience with large datasets
  • Programming skills in Python
  • Adaptable and rigorous, capable of working in a quickly evolving environment,
  • Strong teamwork and communication skills.


EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.

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