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WorldQuant

Global quantitative asset management via algorithms

Deep Researcher

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeYerevan, ArmeniaNo salary listed

About the Job

Requirements

  • At least 2 years of relevant financial research experience.
  • Proven experience extracting insights from large and complex datasets using SQL and Python.
  • Demonstrable financial knowledge, shown by passing at least Level I of the CFA program or having a similar financial qualification, such as an MBA or accountancy background.
  • Thorough understanding of valuation approaches and methods.
  • Expertise in time series analysis and models.
  • Proficiency in coding in C/C++ and Python.
  • Strong analytical and conceptual skills encompassing finance and related areas of financial investment.
  • Excellent written and oral English communication skills.

Responsibilities

  • Develop a structured and methodical research agenda combining fundamental knowledge, data exploration, and quantitative analysis.
  • Become a domain expert on each fundamental topic covered and identify key information drivers to target research.
  • Conduct detailed data exploration to understand comprehensively the data used to generate Alphas; enrich structured and unstructured data into datasets for quantitative research.
  • Take a process-oriented approach to understand the value drivers of Alphas.

Desired Qualifications

  • Experience with alternative datasets.
  • Familiarity with research and database platforms such as Bloomberg and Reuters.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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