Quantitative Analyst Intern

As a Quantitative Analyst Intern at Talos, you will support the team in analyzing trading and proprietary data to help produce quantitative models that drive decision-making behind quantitative execution offerings. You will assist in generating quantitative signals, impact models, and analyzing Talos's unique trading datasets to support improvements to trading products. This is a 12-week internship running from June 1, 2027 to August 27, 2027.

What you'll do

• Assist in analyzing trading data and proprietary intraday signals to produce quantitative execution alphas
• 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 Talos 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 the quant strategies team to backtest real-world trading features for leading crypto firms

What you bring

• Graduation class of 2029 pursuing a Masters or Doctorate degree in Computer Science or related field
• Advanced proficiency in Python, with hands-on experience in data science libraries (especially pandas) and a strong understanding of dataframe architecture for data manipulation, transformation, and analysis
• Experience with SQL, including constructing and optimizing complex queries for large datasets; experience with BigQuery or other cloud-based querying platforms is a strong advantage
• Exposure to computational finance concepts and familiarity with using quantitative methods and tools for finance-related applications
• Strong statistical knowledge, including probability distributions, hypothesis testing, and data sampling methods, with the ability to apply statistical analysis techniques to financial data
• Solid foundation in mathematical principles, including linear algebra and calculus, with a focus on regression analysis
• Exposure to machine learning and deep learning algorithms and methods in the presence of sparse data, including common imputation approaches
• Local to New York HQ

Nice to have

• Familiarity with Python-based data visualization tools
• Knowledge of portfolio optimization methodologies, specifically the Markowitz risk-return models

What we offer

• A 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 Talos

Founded in 2018, Talos provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. The company is a globally distributed team with hubs in New York, London, Singapore, and Cyprus, committed to advancing mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem.