Senior Quant Trader: Build Global Fundamental Signals

ABC Arbitrage SA

Paris

Remote

EUR 90,000 - 150,000

Full time

18 hours ago
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Benefits offered by this job

Flexible remote work

Job summary

ABC Arbitrage SA in Paris is seeking a seasoned Quantitative Trader to build a new systematic fundamental research capability within our multi-alpha platform, focusing on global equity markets. You will research, design and validate signals from fundamental data, collaborate with researchers, developers, traders and the investment committee, and have significant autonomy to shape the platform.

The role requires hands-on experience with Capital IQ, FactSet and IBES, and a strong quantitative

Qualifications

  • 5+ years in quantitative research or portfolio management with fundamental strategies.
  • Experience with fundamental financial datasets (Capital IQ, FactSet, IBES or equivalent).
  • Strong background in statistics, data analysis and Python programming.
  • Curious, autonomous, and research-driven with a pragmatic, results-oriented mindset.

Responsibilities

  • Research, design and validate systematic investment signals from fundamental data.
  • Collaborate with researchers, developers, traders and the investment committee to deploy strategies.
  • Enrich existing strategies with additional fundamental signals.
  • Help develop the multi-alpha research platform and identify new opportunities.
  • Operate with a strong focus on practical, results-driven outcomes.

Skills

Python programming
Statistics
Data analysis
Research-driven
Autonomy

Tools

Capital IQ
FactSet
IBES

Job description

ABC Arbitrage SA in Paris is seeking a seasoned Quantitative Trader to build a new systematic fundamental research capability within our multi-alpha platform, focusing on global equity markets. You will research, design and validate signals from fundamental data, collaborate with researchers, developers, traders and the investment committee, and have significant autonomy to shape the platform.

The role requires hands-on experience with Capital IQ, FactSet and IBES, and a strong quantitative

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