Quantitative Analyst Intern
About The Position
As a Quantitative Analyst Intern, you will support our team in analyzing trading and proprietary data, and helping produce quantitative models that drive the decision making behind our quantitative execution offerings. You will assist in producing quantitative signals, impact models, and analyze Talos unique trading datasets to support improvements of the trading products and beyond. You will work alongside experienced team members, including product owners, quantitative analysts, and managers who will provide guidance and mentorship. This role offers excellent exposure to quantitative trading technology and will provide hands-on experience with financial markets data analysis. You'll gain practical experience while working with experienced professionals in the field. This is a 12-week internship running from June 1, 2027 to August 27, 2027
Requirements
- Graduating 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
- 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
Nice To Haves
- Familiarity with Python-based data visualization tools is a plus.
- Experience with BigQuery or other cloud-based querying platforms is a strong advantage.
- Exposure to computational finance concepts, with familiarity in using quantitative methods and tools for finance-related applications.
- Knowledge of portfolio optimization methodologies, specifically the Markowitz risk-return models is a plus.
Responsibilities
- Assist in analyzing trading data, 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 Talos quants upon 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 to backtest real-world trading features for the pleasure of top leading crypto firms in the space
Benefits
- A lunch credit of $25 USD towards lunches for days in-office
- Evening socials with the entire office and fellow interns
- Other in-office perks: Catered lunches on Tuesdays, snacks, and drinks
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What This Job Offers
Career Level
Intern
