Data Analyst | Remote

Il y a 3 jours

La Réunion, Nouvelle-Aquitaine, France Crossing Hurdles Temps plein


  • Poursuivez votre lecture pour découvrir ce dont vous aurez besoin pour réussir à ce poste, y compris les compétences, les qualifications et l'expérience.
  • Review and assess AI-generated quantitative research and trading strategy outputs focused on fixed income and rates markets.
  • Identify and document methodological issues such as lookahead bias, overfitting, and unrealistic transaction cost assumptions.
  • Evaluate the accuracy of backtesting frameworks, especially with respect to rates-specific mechanics like carry/roll-down.
  • Scrutinize the statistical rigor of signal construction, factor modeling, and alpha research in the provided outputs.
  • Deliver detailed written feedback on model assumptions, implementation fidelity, and research soundness.
  • Collaborate asynchronously with project coordinators by clarifying findings and suggestions through clear communication.

Position:

Quantitative Rates Researcher


Type:

Contract


Compensation:

$80 - $150/hour


Location:

Remote


Commitment:

10-40 hrs/week


Role Responsibilities

  • Review and assess AI-generated quantitative research and trading strategy outputs focused on fixed income and rates markets.
  • Identify and document methodological issues such as lookahead bias, overfitting, and unrealistic transaction cost assumptions.
  • Evaluate the accuracy of backtesting frameworks, especially with respect to rates-specific mechanics like carry/roll-down.
  • Scrutinize the statistical rigor of signal construction, factor modeling, and alpha research in the provided outputs.
  • Deliver detailed written feedback on model assumptions, implementation fidelity, and research soundness.
  • Collaborate asynchronously with project coordinators by clarifying findings and suggestions through clear communication.

Requirements

  • Background as a quantitative researcher, analyst, or consultant with expertise in fixed income or rates markets.
  • Demonstrated experience building and backtesting systematic rates strategies at a hedge fund, asset manager, or bank.
  • Advanced proficiency in Python (pandas, numpy, scipy) or R for quantitative research and data analysis.
  • Strong understanding of yield curve modeling, carry/roll-down analytics, relative value trading, and Treasury futures.
  • Comfort evaluating research under real-world trading conditions, including transaction costs and liquidity constraints. xuezdbg

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Des options de télétravail/travail à domicile sont disponibles pour ce poste.