Quantitative Analyst Intern

Talos; Greater London; Híbrido; GBP 42 000 - 61 000; Tempo integral

Resumo da oferta

Talos, a leader in institutional-grade trading technology for digital assets, seeks a Quantitative Analyst Intern to support data analysis and model development. You will work with product owners, quants, and managers to produce quantitative signals, impact models, and insights from Talos datasets.

The role provides hands-on exposure to quantitative trading technology and practical experience with financial market data in a hybrid-friendly setting.

Qualificações

• Graduating class of 2029 pursuing a Masters or Doctorate degree in Computer Science or related field.
• Advanced proficiency in Python with pandas; knowledge of dataframe architecture for manipulation and analysis.
• Experience with SQL and BigQuery or cloud-based querying platforms.
• Exposure to computational finance concepts and quantitative methods for finance applications.
• Strong statistics, data analysis, and machine learning foundations.
• Familiarity with portfolio optimization concepts (Markowitz) is a plus.

Responsabilidades

• Quant Modelling: analyze trading data and proprietary signals to produce alphas and insights.
• Quantitative Execution Algorithms: collaborate on strategies to drive execution decisions and backtest features.
• Business Support: prepare quantitative content for client meetings and research reporting.

Conhecimentos

Python

Pandas

Data Visualization

SQL

BigQuery

Computational Finance

Statistics

Data Analysis

Mathematics & ML

Portfolio Optimization

Formação académica

Masters or Doctorate in Computer Science or related field

Descrição da oferta de emprego

Talos: Institutional Fabric for the Digital Asset Market

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. Our mission 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, you’ll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe every member of our team brings invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust, integrity, collaboration, and mutual growth.

We are a tight-knit yet globally distributed team of highly experienced engineers and business leaders, with hubs in New York, London, Singapore, and Cyprus. Whether in-office or remote, you’ll be part of a hybrid-friendly environment where your unique talents and insights will play a crucial role in building something extraordinary.

Quantitative Analyst Intern

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 for NYC based candidates. Compensation for this role will be $50/hr for NYC candidates.

Want to learn more about Talos’s engineering culture? Check out Sonic, our first open-source project which allows Talos to achieve microsecond network stack latency in Go: https://github.com/talostrading/sonic

Responsibilities

Quant Modelling

• 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

Quantitative Execution Algorithms

• 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

Business Support

• 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

Qualifications

• Graduating class of 2029 pursuing a Masters or Doctorate degree in Computer Science or related field
• Programming Skills: 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. Familiarity with Python-based 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 cloud-based querying platforms is a strong advantage.
• Computational Finance: Exposure to computational finance concepts, with familiarity in using quantitative methods and tools for finance-related 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 risk‑return models is a plus.
• Local to New York HQ or our London office

Check out these videos and link to learn more about the team!

• Market Impact Modeling: Understanding Market Impact in Crypto Trading: The Talos Model for Estimating Execution Costs | Youtube
• Execution Alphas: Youtube
• Prediction Markets: Prediction Markets on Talos: Quant Execution Alpha Dashboard
• Digital Asset Industry Thought Leadership: Bitcoin is not the Digital Asset Industry and Before the First Fill: Quantitative Pre-Trade Analytics and the Agentic Future of Digital and Multi-Asset Execution

Learn More About Talos

Check out these videos and links to learn more about Talos and our culture!

• Spotlight Article: Talos Snapshot by DRW
• Podcast: 2023 episode with co-founders Anton & Ethan
• Website: Explore Talos: Products, Investors, Team & More
• Case Studies: Real world examples of client solutions
• Awards: Talos Wins Hedgeweek Global Digital Assets Award 2024
• Culture: Award‑winning, Forbes‑listed, low‑attrition team

Andreessen Horowitz re: Talos: "The company best suited to drive institutional adoption is one that understands traditional capital markets deeply and is forward-thinking enough to fully grasp the promise of crypto. Talos is that company."

Benefits

You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. Some of our benefits include:

• A lunch credit of