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4 дня назад

Quantitative Analyst Intern (Crypto)

50$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
UK/Singapore/US +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Quantitative Analyst Intern (Crypto): Analyzing trading and proprietary digital-asset data to produce execution alphas, impact models, and quantitative insights with an accent on statistical analysis, computational finance, and market microstructure. Focus on building visualizations, backtesting trading features, and supporting quantitative execution strategies for crypto trading products.

Location: New York; local to the New York HQ. Hybrid-friendly environment.

Compensation: $50 per hour

Company

hirify.global provides institutional-grade trading technology connecting institutions to the global digital asset ecosystem and supporting the full trading lifecycle.

What you will do

  • Analyze trading data, proprietary intraday signals, and digital-asset datasets to produce quantitative execution alphas.
  • Support the development of impact models, quantitative signals, and analytics visualizations for trading patterns and execution insights.
  • Work with quantitative analysts on strategies that use execution alphas to support trading decisions.
  • Gather and organize trading-algorithm performance data and backtest real-world trading features.
  • Prepare quantitative content for client meetings, presentations, and academic research reporting.
  • Learn internal data-analysis tools, market microstructure, and best-execution practices.

Requirements

  • Must be local to the New York HQ.
  • Graduating in 2029 and pursuing a master's or doctoral degree in computer science or a related field.
  • Advanced Python proficiency, including hands-on experience with pandas and dataframe-based data manipulation, transformation, and analysis.
  • Experience with SQL and complex queries for large datasets.
  • Knowledge of statistics, probability distributions, hypothesis testing, sampling, linear algebra, calculus, and regression analysis.
  • Exposure to computational finance, machine learning, sparse-data methods, and imputation approaches.

Nice to have

  • Experience with BigQuery or other cloud-based querying platforms.
  • Familiarity with Python data-visualization tools.
  • Knowledge of Markowitz risk-return models and portfolio optimization.

Culture & Benefits

  • 12-week internship running from June 1, 2027, to August 27, 2027.
  • Mentorship and collaboration with experienced product owners, quantitative analysts, and managers.
  • Lunch credit of $25 USD for days worked in the office.
  • Catered lunches, snacks, drinks, and evening socials for employees and interns.
  • Inclusive culture focused on trust, integrity, collaboration, and mutual growth.

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