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Quantitative Analyst Intern

Talos-TradingLondon, NYCInternships
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Salary
$50 per hour
Job type
Internship
Experience
Intern
Posted
8 Sept 2026
Status
Open · checked 7d ago

About this role

This internship suits a student in the graduating class of 2029 pursuing a Masters or Doctorate degree in Computer Science or a related field who is local to New York. The Quantitative Analyst Intern position at Talos-Trading in New York is a 12-week summer program offering hands-on experience in financial markets data analysis and quantitative trading technology.

Role Overview

This 12-week internship runs from June 1, 2027, to August 27, 2027, for candidates based in New York. The intern will support the team in analyzing trading and proprietary data while helping produce quantitative models that drive decision-making for quantitative execution offerings. Mentorship is provided by experienced product owners, quantitative analysts, and managers.

Key Responsibilities

Assist in analyzing trading data and proprietary intraday signals to produce quantitative execution alphas.
Help create bespoke analytics visualizations using Talos data to illustrate trading patterns and execution insights.
Learn to use internal tools and systems for data analysis.
Work with quants on quantitative strategies that utilize execution alphas to drive trading decision-making.
Help gather and organize data related to trading algorithm performance.
Learn about market microstructure and best execution practices.
Assist in preparing quantitative content for client meetings, presentations, and academic research reporting.
Work with quant strategies to backtest real-world trading features for crypto firms.

Requirements

Graduating class of 2029 pursuing a Masters or Doctorate degree in Computer Science or a related field.
Advanced proficiency in Python, with hands-on experience in data science libraries, especially pandas, and dataframe architecture.
Experience with SQL for constructing and optimizing complex queries for large datasets.
Exposure to computational finance concepts, quantitative methods, and tools.
Strong statistical knowledge, including probability distributions, hypothesis testing, and data sampling methods.
Solid foundation in mathematical principles, including linear algebra, calculus, and regression analysis.
Exposure to machine learning and deep learning algorithms with sparse data and imputation approaches.
Local to the New York headquarters.

Nice to Have

Familiarity with Python-based data visualization tools
Experience with BigQuery or other cloud-based querying platforms
Knowledge of portfolio optimization methodologies, specifically Markowitz risk-return models

Skills and Tools

Python
Pandas
SQL
BigQuery
Machine Learning
Deep Learning
Markowitz Risk-Return Models

Salary and Benefits

Compensation of $50 per hour for NYC candidates
Lunch credit of $25 USD towards lunches for days in-office
Evening socials with the entire office and fellow interns
In-office perks including catered lunches on Tuesdays, snacks, and drinks

About the Company

Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering major players in the crypto ecosystem. The company operates a globally distributed team with hubs in New York, London, Singapore, and Cyprus, fostering a hybrid-friendly environment built on trust, integrity, collaboration, and mutual growth.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PythonPandasSQLBigQueryGoDeep LearningMachine Learning

Questions candidates ask

What are the dates for the Quantitative Analyst Intern program?

The 12-week internship runs from June 1, 2027, to August 27, 2027.

Where is the internship located?

The role is for New York based candidates who are local to the New York headquarters.

What is the compensation for this internship?

Compensation for New York candidates is $50 per hour.

Who is eligible to apply for this internship?

Applicants must be in the graduating class of 2029 and pursuing a Masters or Doctorate degree in Computer Science or a related field.

What benefits are included for interns?

Benefits include a $25 lunch credit for in-office days, Tuesday catered lunches, snacks, drinks, and evening socials with the team and fellow interns.

Ready to apply?

The application is on the official Talos-Trading careers page.

Apply on company site