Quantitative Analyst Intern

The role

You will support the team in analyzing trading and proprietary data. You will help produce quantitative models, signals, and impact models to drive decision making for quantitative execution offerings.

What you will do

• Assist in analyzing trading data and proprietary intraday signals to produce quantitative execution alphas
• Help create bespoke analytics visualizations using Talos data
• Learn to use internal tools and systems for data analysis
• Work with quants on quantitative strategies that utilize execution alphas
• 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

Required qualifications

• Graduating class of 2029 pursuing a Masters or Doctorate degree in Computer Science or related field
• Advanced proficiency in Python
• Hands-on experience in data science libraries (especially pandas)
• Strong understanding of dataframe architecture for data manipulation, transformation, and analysis
• Experience with SQL, including constructing and optimizing complex queries for large datasets
• Exposure to computational finance concepts
• Familiarity in using quantitative methods and tools for finance-related applications
• Strong statistical knowledge, including probability distributions, hypothesis testing, and data sampling methods
• Ability to apply statistical analysis techniques to analyze 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 or our London office

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 the Markowitz risk-return models

Benefits

• A lunch credit of $25 USD towards lunches for days in-office
• Evening socials with the entire office and fellow interns
• Catered lunches on Tuesdays
• Snacks
• Drinks

About the company

Talos provides institutional-grade trading technology for the global digital asset market. The company is a globally distributed team with hubs in New York, London, Singapore, and Cyprus.