Job Description:

Quantitative Analyst Intern
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

Job Requirements:

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

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 $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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AI Job Analysis

Intelligent Job Recommendations Based on Deep Learning

Ready for Analysis

Analyze Job Core Requirements

The Quantitative Analyst position at Talos requires a blend of advanced technical skills in programming and data analysis, along with a strong foundation in computational finance and statistics. The role is designed for candidates who can leverage quantitative methods to drive trading decisions and analyze financial data effectively.

Advanced proficiency in Python, particularly with data science libraries like pandas, and experience with SQL and cloud-based querying platforms.
Strong statistical knowledge, including probability distributions, hypothesis testing, and data sampling methods, applied to financial data.
Solid foundation in mathematical principles, including linear algebra and calculus, with exposure to machine learning algorithms and portfolio optimization methodologies.
Familiarity with market microstructure and best execution practices, as well as experience in backtesting trading strategies.
Ability to create bespoke analytics visualizations and assist in preparing quantitative content for client meetings and presentations.

Understand Employer Recruitment Intent

Talos, a leading firm in the crypto trading space, is seeking a Quantitative Analyst Intern to support their quantitative modeling and execution algorithms. The employer is looking for someone who can assist in analyzing trading data, developing execution alphas, and creating data visualizations to illustrate trading patterns. The role also involves working closely with top crypto firms, indicating Talos's focus on innovation and collaboration in the crypto trading ecosystem. The requirement for local presence in New York HQ suggests a preference for candidates who can integrate seamlessly into their dynamic and fast-paced work environment.

MyJob Interviewer Says

From an interviewer's perspective, the ideal candidate for this role should demonstrate not only technical proficiency but also a keen understanding of financial markets, particularly in the crypto space. The candidate should be able to showcase their ability to apply statistical and machine learning techniques to real-world trading scenarios. Additionally, the interviewer will likely assess the candidate's problem-solving skills, adaptability, and ability to work in a team-oriented environment. Given the collaborative nature of the role, strong communication skills and the ability to present complex quantitative concepts clearly will be highly valued.

AI Matching Suggestions

To optimize your application for the Quantitative Analyst position at Talos, focus on highlighting your technical skills and relevant experience in computational finance and data analysis. Tailor your resume to reflect the specific requirements mentioned in the job description.

Emphasize your proficiency in Python and SQL, particularly your experience with data science libraries like pandas and cloud-based querying platforms.
Highlight any projects or coursework related to computational finance, statistics, and machine learning, especially those involving financial data analysis.
Include examples of data visualization projects or any experience in creating analytics dashboards to demonstrate your ability to present insights effectively.
Prepare to discuss your understanding of market microstructure and best execution practices, as well as any experience in backtesting trading strategies.
Be ready to showcase your problem-solving skills and ability to work in a collaborative environment, as these are key traits Talos is likely seeking in a candidate.

Quantitative Analyst at Talos

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Benefits:

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Quantitative Analyst at Talos

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