Job Description: Sector Data Quantitative Researcher
Firm Overview:
Join a leading Hedge Fund Pod known for its innovative use of alternative data to generate alpha across markets. The team excels in extracting insights from unconventional datasets, driving cutting-edge research and superior investment outcomes.
Join a leading Hedge Fund Pod known for its innovative use of alternative data to generate alpha across markets. The team excels in extracting insights from unconventional datasets, driving cutting-edge research and superior investment outcomes.
Position Overview:
We are seeking an experienced Sector Data Quantitative Researcher to expand our capabilities beyond consumer data. The ideal candidate will bring expertise in alternative data applications across one or more complementary sectors such as Technology, Media & Telecommunications (TMT), Financials, Healthcare, or Industrials. This role requires a proven ability to source, analyze, and integrate novel datasets to support investment decision-making.
We are seeking an experienced Sector Data Quantitative Researcher to expand our capabilities beyond consumer data. The ideal candidate will bring expertise in alternative data applications across one or more complementary sectors such as Technology, Media & Telecommunications (TMT), Financials, Healthcare, or Industrials. This role requires a proven ability to source, analyze, and integrate novel datasets to support investment decision-making.
Key Responsibilities:
- Source, evaluate, and onboard alternative data sets relevant to specific sectors (TMT, Financials, Healthcare, Industrials, etc.).
- Develop quantitative models and algorithms to extract actionable insights from structured and unstructured data.
- Collaborate with portfolio managers, analysts, and other researchers to integrate data-driven insights into the investment process.
- Conduct in-depth sector-specific data analysis to uncover trends, risks, and opportunities.
- Maintain a forward-looking perspective on alternative data trends and emerging technologies, ensuring continuous improvement in data acquisition and processing methodologies.
Qualifications:
- 5+ years of experience working with alternative data, with demonstrated success in leveraging such data for sector-specific research.
- Deep understanding of at least one sector outside of consumer data, such as TMT, Financials, Healthcare, or Industrials.
- Strong programming skills in Python, R, or similar languages; experience with data visualization tools is a plus.
- Familiarity with database technologies and large-scale data processing frameworks (e.g., SQL, Spark).
- Excellent problem-solving skills and the ability to translate complex data into clear, actionable insights.
- Advanced degree in a quantitative field such as Data Science, Statistics, Economics, or Engineering.
Why Join Us?
- Work in a dynamic and collaborative environment at the intersection of data science and finance.
- Access cutting-edge tools and resources to explore and analyze novel data sources.
- Be part of a team that values intellectual curiosity and rewards innovation.
Location:
New York, New York
New York, New York
Application Instructions:
If you are passionate about leveraging alternative data to drive investment decisions and have the sector expertise we are looking for, please apply with your resume detailing your relevant experience.
If you are passionate about leveraging alternative data to drive investment decisions and have the sector expertise we are looking for, please apply with your resume detailing your relevant experience.
