Quantitative Researcher

Alldus International Consulting Ltd

New York (NY)

On-site

USD 300,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Medical and Life insurance
Performance bonus
Retirement plan
Additional employee benefits

Job summary

Alldus International Consulting Ltd in New York is seeking a Quantitative Researcher to join a leading financial services client. You will apply advanced statistical analysis, mathematical modelling and large-scale optimization to uncover investment opportunities and contribute to multi-asset portfolios.

The role requires a strong track record in quantitative research, experience with time-series and cross-sectional analysis, and proficiency in Python or C++.

Qualifications

  • Advanced degree required in a quantitative field.
  • Proven track record of delivering original, high-impact research.
  • Strong mathematical and statistical modelling skills.
  • Experience with time-series or cross-sectional analysis.
  • Proficiency in programming, ideally Python or C++.
  • Interest in financial markets and risk factors.
  • Ability to translate research into scalable solutions.

Responsibilities

  • Carry out quantitative research to solve investment challenges.
  • Analyze large datasets to uncover trends and opportunities.
  • Build predictive models using time-series and cross-sectional analysis.
  • Develop models for portfolio construction and large-scale optimization.
  • Create algorithms to support investment decisions and risk management.
  • Examine factors influencing market prices and risk.
  • Collaborate with researchers, engineers and traders to scale research.
  • Review methods to improve performance and results.

Skills

Quantitative research
Mathematical modelling
Time-series analysis
Cross-sectional analysis
Statistical analysis
Problem solving
Financial markets understanding

Education

Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or related quantitative subject

Tools

Python
C++

Job description

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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