Senior Investment Data Associate

Coda Search│Staffing; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Top Hedge Fund in New York is seeking a Data Analyst/Associate to turn high-velocity, unstructured alternative data into sector-deep signals that inform investment decisions. You will triangulate investor theses with data analyses that inform entry/exit, sizing, and risk.

Build scalable pipelines, features, and tools used across teams; produce promising research. Partner directly with PMs/analysts and deliver time-critical insights with clear caveats and recommendations.

Qualifications

• 5+ years in alternative data, statistics, data science, or quantitative research.
• Strong Python and SQL proficiency.
• Ability to translate hypotheses into actionable analyses.

Responsibilities

• Turn high-velocity, unstructured alternative data into sector-deep signals for investment decisions.
• Build scalable pipelines and ETL/feature pipelines; produce research.
• Collaborate with PMs/analysts to deliver time-critical insights with caveats and recommendations.
• Evaluate and sequence research requests, translating investment hypotheses into actionable data analyses.

Skills

Python

SQL

Data modeling

Statistical analysis

Quantitative research

Communication

Tools

Pandas

NumPy

Job description

One of the top Hedge Funds is looking to hire a Data Analyst/Associate.

Coverage includes Financials, Consumer, TMT, Healthcare, and Energy/Industrials.

The opportunity to turn high-velocity, unstructured alternative data into sector-deep signals that inform investment decisions

Your impact

Triangulate investor theses with data analyses that inform entry/exit, sizing, and risk.

Build scalable pipelines, features, and tools used across teams; produce promising research.

Partner directly with PMs/analysts; deliver time‐critical insights with clear caveats and

recommendations.

Evaluate and sequence research requests, translating investment hypotheses into actionable

data analyses.

Collaborate within a team of data scientists to design and maintain shared infrastructure,

including tooling and ETL/feature pipelines, with testing, CI, observability, versioning, and

Ideal background

5+ years in alternative data, statistics, data science, or quantitative research.

Python + SQL proficiency; exceptional data modeling, testing, and tooling.

Bridges data and investing - clear communicator who partners with investors to convert

technical depth into decision-driving guidance.