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Two Sigma

Quantitative finance firm building predictive models

Quantitative Researcher - ETFs and Passive Flows

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Excellent quantitative skills evidenced by formal training in statistics, applied mathematics, operations research, economics, computer science, physics, or a related quantitative field, and extensive experience applying those skills in a research environment.
  • At least 2 years of work experience in an investment research function at a financial firm.
  • Strong understanding of financial markets, including return drivers, risk control, and portfolio construction techniques.
  • Strong understanding of computer technology used in financial and economic research, with statistical programming skills in Python and Java, data management and retrieval skills (preferably SQL or Spark), and Linux literacy.
  • Strong understanding of data available in the investment management industry and experience managing and accessing such data to support research efforts.
  • Ability to work efficiently and multitask in a fast-paced, team-oriented environment, including end-to-end research project work from data gathering through hypothesis testing and model implementation.
  • Effective written and verbal communication skills.

Responsibilities

  • Generate new alpha through quantitative signals reflecting inefficiencies in global capital markets activities related to ETF trading.
  • Gather, maintain, and analyze economic and financial data supporting global ETFs and indices.
  • Build relationships with teams supporting investment and research processes and partner with multiple teams across the organization to execute joint research work.
  • Manage and mentor junior researchers.

Desired Qualifications

  • A PhD is a plus.
  • Expertise with large panel datasets of market microstructure data, including intraday quote and trade execution data, is a significant plus.
  • Past experience with portfolio construction and implementation research is a plus.

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$378.2M
Headquarters
New York City, New York
Founded
2001

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