Quantamental Research - Data Scientist

Point One - Hedge Fund Talent; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

Point One - Hedge Fund Talent seeks a senior quantamental researcher to join a leading hedge fund team in New York. The candidate will blend fundamental sector expertise with quantitative/data-science capabilities, focusing on healthcare and/or industrials coverage and complex datasets.

Ideal candidates have 5–10+ years in data science, alternative data, or investment research, with strong Python/SQL skills and the ability to communicate nuanced findings to senior stakeholders in ambiguous

Qualifications

• 5–10+ years of experience in data science, alternative data, investment research, commercial analytics, or a related analytical role.
• Strong Python and SQL skills.
• Experience with large, messy, real-world datasets.
• Hands-on experience with alternative datasets.
• Ability to translate ambiguous questions into concrete analyses.

Responsibilities

• Translate ambiguous investment or business questions into concrete analyses.
• Present nuanced findings to senior stakeholders.
• Evaluate dataset quality, bias, representativeness, seasonality, and signal robustness.

Skills

Python

SQL

Data Science

Alternative Data

Sector Knowledge

Communication

Independent Work

Presentation

Job description

A leading global multi strategy hedge fund are now seeking a senior quantamental researcher to join one of their top performing teams in NY.

This role is suitable for individuals who combine fundamental sector expertise with quantitative/data-science capabilities.

The ideal candidate combines:

• Deep fundamental sector knowledge
• Healthcare and/or industrials coverage
• Ability to work with alternative or complex datasets
• Investment/research judgement
• 5–10+ years of experience in data science, alternative data, investment research, commercial analytics, or a related analytical role.
• Prior experience working with investment teams, research teams, or senior business stakeholders.
• Strong Python and SQL skills.
• Experience working with large, messy, real-world datasets.
• Hands-on experience with a variety of alternative datasets.
• Strong ability to evaluate dataset quality, bias, representativeness, seasonality, and signal robustness.
• Ability to translate ambiguous investment or business questions into concrete analyses.
• Strong communication skills and ability to present nuanced findings to senior stakeholders.
• High judgment, intellectual curiosity, and comfort operating independently in ambiguous environments