Quantitative Analyst Intern: Crypto Trading Insights

Coin Metrics; New York (NY); Hybrid; USD 34,000 - 48,000; Full time

Benefits offered by this job

Lunch credit

Evening socials

In-office snacks

Job summary

Talos invites a Quantitative Analyst Intern to join our New York HQ and contribute to analyzing trading data, building models, and supporting quantitative execution features. You’ll work with seasoned quants and managers in a hybrid-friendly environment, gaining exposure to crypto markets and data science workflows.

The 12-week program runs June 1, 2027 to August 27, 2027, offering mentorship, hands-on projects, and opportunities to develop practical analytics and backtesting skills within a

Qualifications

• Graduating class of 2029 pursuing a Masters or Doctorate in Computer Science or a related field.
• Advanced Python with pandas for data manipulation and analysis.
• Strong SQL skills; experience with BigQuery or cloud-based querying is a plus.
• Baseline knowledge in statistics, data analysis, and ML concepts.
• Familiarity with portfolio optimization is a plus.

Responsibilities

• Assist in analyzing trading data and proprietary signals to build execution alphas.
• Help create analytics visuals illustrating trading patterns and execution insights.
• Learn internal tools and systems for data analysis and backtesting.
• Collaborate with quants and managers to apply quantitative methods to finance.

Skills

Python

Pandas

Dataframes

SQL

BigQuery

Visualization

Statistics

Machine learning

Portfolio optimization

Education

Masters/PhD in CS or related

Tools

BigQuery

Cloud platforms

Job description

Talos invites a Quantitative Analyst Intern to join our New York HQ and contribute to analyzing trading data, building models, and supporting quantitative execution features. You’ll work with seasoned quants and managers in a hybrid-friendly environment, gaining exposure to crypto markets and data science workflows.

The 12-week program runs June 1, 2027 to August 27, 2027, offering mentorship, hands-on projects, and opportunities to develop practical analytics and backtesting skills within a