Salary
$300k – $350k per year
Location
In office (New York)
Employment
Full-Time

Removed from the employer's board on Nov 9, 2026. First seen by Alion on Sep 17, 2026. Alldus scores E on the Alion truth index.

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Alldus is a recruitment agency specialising in AI, data and technology hiring, placing candidates with companies across the US, Ireland, the UK and Germany from offices including Dublin and New York. It recruits for data engineering, data science, machine learning, ServiceNow and cybersecurity roles, working with clients that range from venture-backed fintech startups to AI-focused consumer companies and large enterprises, and runs the AI in Action podcast. Current client searches cover senior backend and full stack engineers, C++ developers, quantitative researchers, heads of engineering, ServiceNow project managers and technical business analysts.

Our client, leading financial services organization, is hiring a Quantitative Researcher to join their team in New York. The successful candidate will use advanced statistical analysis, mathematical modelling and large-scale optimization techniques to uncover investment opportunities and contribute to the development of sophisticated multi-asset portfolios.

Responsibilities

  • Carry out quantitative research to solve practical investment challenges.

  • Analyze large, complex datasets to uncover trends, signals and market opportunities.

  • Build predictive models using time-series and cross-sectional analysis.

  • Develop models for portfolio construction and large-scale optimization.

  • Create advanced algorithms to support investment decisions and manage risk.

  • Examine the factors that influence market prices and financial risk.

  • Work with researchers, engineers and traders to turn research into scalable production solutions.

  • Review existing methods and identify ways to improve performance and results.

Skillset

  • An advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or a related quantitative subject.

  • A proven track record of delivering original, high-impact research.

  • Strong mathematical, statistical and analytical modelling skills.

  • Experience with time-series analysis, cross-sectional analysis or similar quantitative techniques.

  • Proficiency in programming, ideally using Python or C++.

  • A strong interest in financial markets and the factors affecting prices and risk.

  • A desire to keep learning and the confidence to question existing methods.

  • The ability to turn complex research into practical solutions that can operate at scale.

Benefits

  • Salary: $300k - £350k

  • Medical and Life insurance.

  • Eligible for a performance-related bonus.

  • Retirement and tax-efficient savings plans.

  • Additional healthcare and employee benefits.

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