Head of Systematic Research - Merger Arbitrage

AllianceBernstein L.P.

New York (NY)

On-site

USD 200,000 - 250,000

Full time

14 days+
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Job summary

AllianceBernstein L.P. seeks a Senior Quantitative Researcher to join its systematic merger arbitrage effort in New York.

You will work as the Head Portfolio Manager's research counterpart and deputy, collaborating with technology and data teams to develop signals and investment ideas rooted in historical deal data. You will backtest ideas, ensure data integrity, and apply machine learning techniques to extract signals from deal and market data, contributing to investment decision-making and

Qualifications

  • 5+ years of investment management or quantitative research experience in equities.
  • Experience with merger arbitrage or event-driven strategies is a plus.
  • Proficiency in Python for research and data analysis; SQL for querying and managing structured datasets.
  • Excellent attention to detail and a strong commitment to data quality.

Responsibilities

  • Identify patterns in active and completed deals and test against historical data.
  • Design, backtest, and evaluate quantitative models and systematic signals.
  • Monitor and support portfolio construction, risk assessment, and position sizing.
  • Collaborate with technology and data teams to enhance research workflows and data pipelines.
  • Engage with institutional clients and contribute to research publications and investor materials.

Skills

Python
SQL
Data quality
Quant research
Equities
Backtesting
ML methods
Attention to detail

Tools

Backtesting engine

Job description

AllianceBernstein L.P. seeks a Senior Quantitative Researcher to join its systematic merger arbitrage effort in New York.

You will work as the Head Portfolio Manager's research counterpart and deputy, collaborating with technology and data teams to develop signals and investment ideas rooted in historical deal data. You will backtest ideas, ensure data integrity, and apply machine learning techniques to extract signals from deal and market data, contributing to investment decision-making and

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