Quantitative Analyst Intern
Quantitative Analyst Intern
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1 Vacancy
Job Description
Institutional Fabric for the Digital Asset Market
Our mission at Talos is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world supporting the entire trading lifecycle.
At Talos youll find an environment that champions kindness and respect values diverse perspectives and upholds inclusivity at every turn. We believe that every member of our team adds invaluable insights and abilities that drive Talos forward. In our pursuit of excellence we foster a culture of trust and integrity collaboration and mutual growth. Together we are ambitiously building something extraordinary. Your unique talents and insights will play a crucial role in our shared success.
We are a tightknit but decentralized team of highlyexperienced engineers and businesspeople. We have a hybridfriendly work environment with physical hubs in New York London Singapore Sweden and Cyprus.
About the Role
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 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 handson experience with financial markets data analysis. Youll gain practical experience while working with experienced professionals in the field.
This is a 12week internship running from June 2 2025 to August 22 2025.
Want to learn more about Taloss engineering culture Check out Sonic our first opensource project which allows Talos to achieve microsecond network stack latency in Go: https://github/talostrading/sonic
Responsibilities and Duties
Quant Modelling
Assist in analyzing trading data proprietary intraday signals to produce quantitative alphas
Help create bespoke analytics visualizations using Talos data to illustrate trading patterns and insights
Learn to use internal tools and systems for data analysis
Quantitative Algorithms
Work with Talos quants upon quantitative strategies that utilize alphas to drive trading decision making
Help gather and organize data related to trading algorithm performance
Learn about market microstructure and best practices
Business Support
Assist in preparing quantitative content for client meetings presentations and academic research reporting
Work with the Quant strategies to backtest realworld trading features for the pleasure of top leading crypto firms in the space
Qualifications
Class of 2026 pursuing a Masters or Doctorate degree in Computer Science or related field
Programming Skills: Advanced proficiency in Python with handson experience in data science libraries (especially pandas) and a strong understanding of dataframe architecture for data manipulation transformation and analysis. Familiarity with Pythonbased data visualization tools is a plus.
Database and Query Languages: Experience with SQL including constructing and optimizing complex queries for large datasets; experience with BigQuery or other cloudbased querying platforms is a strong advantage.
Computational Finance: Exposure to computational finance concepts with familiarity in using quantitative methods and tools for financerelated applications.
Statistics and Data Analysis: Strong statistical knowledge including probability distributions hypothesis testing and data sampling methods. Ability to apply statistical analysis techniques to analyze financial data.
Mathematics and Machine Learning: 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. .
Portfolio Optimization: Knowledge of portfolio optimization methodologies specifically the Markowitz riskreturn models is a plus.
Local to New York HQ
Benefits
You will also enjoy a comprehensive array of competitive benefits regardless of your location within our warm welcoming and ambitious company culture. We provide paid lunches in the office monthly fitness and evening socials to foster connections with colleagues and other events to engage with the wider team.
Get In Touch!
Sounds compelling Wed love to hear from you. Contact us directly.
Also check out other open positions listed on our website.
Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability please let us know at .
Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability please let us know at .
To protect the interests of all parties Talos Trading LLC and its affiliates (Talos) strongly discourage submission of unsolicited resumes from any source other than directly from a candidate.
Talos will NOT pay fees commissions or compensation of any kind (Fees) for any placement or hire resulting from the receipt of an unsolicited resume. Talos will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees and Talos reserves the right to contact interview and hire the candidate directly.
Agencies search firms recruitment firms and similar organizations (Agencies) must obtain advance written approval from Taloss internal recruiting team to submit resumes AND must sign a valid fully executed placement agreement with Talos in order to be eligible to receive any Fees from Talos. Talos will not pay a Fee to any Agency that does not have such agreement in place. By submitting a resume without a signed agreement you acknowledge and accept these terms.
Talos Trading
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Required Experience:
IC
Employment Type
Full-Time
