Senior Quantitative Researcher - Systematic Investing

Arrowstreet Capital, Limited Partnership

Boston (MA)

On-site

USD 170,000 - 325,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation package
Bonus potential

Job summary

Arrowstreet Capital is seeking a senior researcher to join our Research group in Boston. The role focuses on generating investment ideas, evaluating data sources, codifying ideas into signals, back-testing, and forecasting returns, risk, and trading costs to inform trading decisions.

You will lead high-impact projects, manage other researchers, and contribute to model specification and implementation within our integrated systematic investment process.

Qualifications

  • 7+ years of experience developing systematic investment strategies.
  • A creative, rigorous thinker with ability to develop differentiated alpha ideas.
  • Hands-on quantitative research experience as an individual contributor.
  • Experience managing other researchers on multiple projects.
  • Significant experience evaluating novel data sources.
  • Expertise in risk and transaction cost modeling.
  • Proficiency with Python, R, MATLAB or similar.

Responsibilities

  • Contribute to idea generation and management of high-impact projects that improve model specification and implementation.
  • Pursue research projects that improve portfolio construction decisions within our integrated systematic investment process.
  • Communicate findings clearly, including data visualizations, to stakeholders.

Skills

7+ years experience
Differentiated alpha ideas
Hands-on quantitative research
Lead researchers
Evaluate novel data sources
Risk and TC modeling
Programming in Python/R/MATLAB

Education

Undergraduate quantitative degree
Graduate degree in economics/finance/statistics (a plus)

Tools

Python
R
MATLAB

Job description

Arrowstreet Capital is seeking a senior researcher to join our Research group in Boston. The role focuses on generating investment ideas, evaluating data sources, codifying ideas into signals, back-testing, and forecasting returns, risk, and trading costs to inform trading decisions.

You will lead high-impact projects, manage other researchers, and contribute to model specification and implementation within our integrated systematic investment process.

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