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Senior Quantitative Researcher

Job in Hartford, Hartford County, Connecticut, 06112, USA
Listing for: Alexander Chapman
Full Time position
Listed on 2026-07-09
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

Senior Quantitative Researcher – Systematic Equities

We are partnering with a leading AI-driven quantitative research firm that is looking to hire an exceptional Senior Quantitative Researcher to develop and enhance systematic equity trading strategies.

In this role, you will research, design, and deploy alpha signals and systematic investment models across global equity markets. Working alongside world-class researchers, machine learning specialists, and engineers, you will leverage cutting-edge AI techniques, alternative datasets, and rigorous quantitative research to identify persistent market inefficiencies and build scalable, production-grade investment strategies.

What we’re looking for
  • Strong experience researching and developing systematic equity strategies, with a deep understanding of alpha generation and portfolio construction
  • Advanced quantitative, statistical, and machine learning expertise with a proven track record of developing predictive models and investment signals
  • Highly proficient in Python for quantitative research, data analysis, backtesting, and production-level implementation
  • Experience working with large-scale financial, alternative, and unstructured datasets to generate differentiated investment insights
  • Strong understanding of equity market microstructure, execution, transaction costs, and risk management considerations
  • Experience building robust research pipelines and evaluating strategies through rigorous testing, validation, and performance attribution
  • Familiarity with modern AI and machine learning techniques, including supervised and unsupervised learning, feature engineering, and model optimization
  • Ability to collaborate closely with researchers, engineers, and portfolio managers to translate research into live trading strategies
  • A curious, research-driven mindset with strong ownership across the entire research lifecycle, from idea generation through live deployment

If this role aligns with your background, apply directly or recommend a colleague who would be a strong fit.

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Position Requirements
10+ Years work experience
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