Talos · 5 months ago
Quantitative Analyst Intern
New York, United States
Internship
Onsite
InternTalos is a company that provides institutional-grade trading technology for the global digital asset market. As a Quantitative Analyst Intern, you will assist in analyzing trading data and producing quantitative models to support the trading products. This role offers excellent exposure to quantitative trading technology and hands-on experience with financial markets data analysis.
CryptocurrencyFinancial ServicesFinTechTrading Platform
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
Qualification
Required
Class of 2027 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, with 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
Knowledge of portfolio optimization methodologies, specifically the Markowitz risk-return models is a plus
Local to New York HQ
Benefits
Paid lunches in the office
Monthly fitness and evening socials to foster connections with colleagues
Other events to engage with the wider team
Company
Talos
Talos is an end-to-end crypto trading platform that provides digital asset trading technology for lenders, brokers, and investors.
Founded in 2018
51-200 employees
H1B Sponsorship
Talos has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$145MKey Investors
General AtlanticAndreessen HorowitzInitialized Capital
2022-05-10Series B· $105M
2021-05-27Series A· $40M
2020-10-01Series Unknown
Leadership Team
Anton Katz
Co-Founder & CEO
Ethan Feldman
Co-Founder & CTO
Recent News
Startbase
2026-01-17
Crowdfund Insider
2026-01-12
Crowdfund Insider
2025-12-30
Company data provided by crunchbase