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AllianceBernstein

Investment management and research for institutions

Vice President/Head of Research - Merger Arbitrage

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 5 years of investment management or quantitative research experience in equities.
  • Experience with quantitative research methods, including backtesting systematic strategies and evaluating signal performance.
  • Working proficiency in Python for research and data analysis, including comfort writing and maintaining production-quality scripts in an investment context.
  • Working proficiency in SQL for querying and managing structured datasets.
  • Excellent attention to detail and a strong commitment to data quality.
  • Ability to present investment views clearly and credibly to sophisticated institutional audiences.
  • Bachelor's degree in a quantitative or finance-related discipline, such as Finance, Economics, Mathematics, Computer Science, or Statistics.
  • Willingness to embrace and use AI to help with all facets of the job.

Responsibilities

  • Identify patterns in active and completed deals that can be systematically tested against historical data.
  • Design and maintain quantitative models and systematic signals to assess spread dynamics, deal break probability, and portfolio-level risk and return behavior.
  • Develop, backtest, and evaluate new investment ideas using the team's backtesting engine; own the integrity of input data and the deal database, ensuring completeness, accuracy, and consistency of historical and live deal records.
  • Identify and apply machine learning and statistical techniques to extract signals from deal, market, and alternative data.
  • Identify opportunities to leverage AI tools across the strategy, including data acquisition, deal monitoring, and research workflows, and help embed those capabilities into the team's day-to-day investment process.
  • Monitor and assess active deals across the M&A universe, tracking deal timelines, deal structure, regulatory and antitrust developments, and deal outcomes.
  • Engage periodically with company management teams and deal advisors as needed to clarify deal timelines, assess regulatory risk from the issuer's perspective, and confirm deal economics where contractual terms require interpretation for modelling purposes.
  • Track regulatory filings (HSR, SEC), antitrust proceedings, shareholder vote schedules, and deal timetables for all active positions.
  • Support the Head Portfolio Manager in position sizing, portfolio construction, and risk management decisions.
  • Assist with trade building and portfolio monitoring.
  • Contribute to regular strategy performance reviews by providing attribution analysis and research-driven commentary on historical results.
  • Partner with the technology team to enhance research workflows, data pipelines, signal construction, and analytics.
  • Manage deal and market data across relational databases and maintain data quality standards across all research inputs.
  • Identify opportunities to expand the team's data capabilities through alternative or third-party data sources.
  • Attend meetings with institutional clients and prospects to present the strategy, discuss current positioning, and present research findings, including deal-level analysis and systematic insights from backtesting.
  • Contribute to investor materials, performance commentary, research publications, and the strategy's quarterly investment letter.
  • Represent the strategy in client interactions and external forums.

Desired Qualifications

  • Experience with merger arbitrage or event-driven strategies.
  • Familiarity with merger arbitrage, including the ability to analyze M&A transactions from announcement through close and understanding typical deal timelines, deal structures, regulatory review processes, and break risk.
  • Experience with quantitative modeling and machine learning methods applied to event-driven or arbitrage investing, such as classification models and supervised learning for deal outcome prediction.
  • Exposure to systematic strategy development, including factor construction, signal combination, and portfolio optimization.
  • Experience using AI tools to augment investment or research workflows, with the ability to explain how AI has enhanced prior work and identify practical applications within a systematic strategy context.

About the Company

AllianceBernstein

Investment management and research for institutions

AllianceBernstein provides investment management and research services for individuals, financial advisors, and institutional clients such as pension funds and endowments. It manages assets and offers investment advice, using its global research capabilities to build tailored strategies across asset classes and regions. Revenue comes from management fees and performance-based fees tied to investment results. The company distinguishes itself through its combination of deep research, global reach, and customized solutions, serving a diverse client base and emphasizing collaborative culture and sustainability. Its goal is to help clients navigate change and achieve long-term value by integrating responsible practices into its investment approach.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Nashville, TN
Founded
1967

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