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Quantitative Researcher

Job in New York, New York County, New York, 10261, USA
Listing for: HUG
Full Time position
Listed on 2026-02-18
Job specializations:
  • Finance & Banking
    Data Scientist, Mathematics
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: New York

We’re partnering with a prominent global quantitative trading firm focused on market-making and systematic strategies across various asset classes. The team applies advanced quantitative methods and technology to develop effective trading solutions in dynamic markets. This is a hands‑on research position suited to strong performers with experience in generating alpha through data‑driven analysis and modelling.

What You’ll Work On
  • Perform detailed research and statistical analysis and create predictive models for trading signals.
  • Work with large-scale datasets to discover and validate statistical patterns in markets.
  • Develop and refine valuation approaches, construct and enhance mathematical and machine learning models.
  • Implement complex algorithms into efficient, production-grade code.
  • Conduct rigorous backtesting and assist with deploying models into live trading systems.
  • Collaborate with traders, engineers, and fellow researchers to improve systematic strategies across multiple asset classes.
What We’re Looking For
  • Advanced degree (Master’s or PhD preferred; strong Bachelor’s considered) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field.
  • Solid expertise in probability, statistics, and quantitative techniques.
  • Practical experience with machine learning and deep learning applied to financial or time-series data.
  • Proven success as a quantitative researcher or analyst, preferably in buy-side quantitative trading or hedge funds (sell-side experience also relevant).
  • Strong programming skills in Python (required), with familiarity in analytical tools and/or compiled languages.
  • Experience handling large datasets and developing reliable models in a data-heavy research setting.
  • Strong problem-solving skills, with a track record of independent research and delivering tangible results.
  • Clear communication abilities to explain complex concepts effectively.
Preferred
  • Background in building automated trading strategies or signals in equities, fixed income, commodities, FX, or other asset classes.
  • Exposure to unconventional data sources for alpha generation.
  • Experience turning mathematical models into scalable production code for trading systems.
Why Join
  • Contribute to advanced quantitative trading strategies operating in global markets.
  • Work in a collaborative, merit-based environment with talented researchers and engineers.
  • Enjoy competitive compensation, strong benefits, and potential for professional development.
  • Be part of a firm focused on innovation and ongoing improvement in quantitative finance.

Opportunities available in key financial centers (London, New York, and Asia). If you're a skilled quant with solid ML experience and a demonstrated ability to generate alpha, we'd like to connect! Apply now to learn more about this confidential opportunity.

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