Quantitative Research Intern (Machine Learning)

Location: Chicago or New York City, United States

Annual base salary: $250,000–$300,000, depending on experience, qualifications, and relevant skills.

Company

hirify.global is a diversified proprietary trading firm combining quantitative research, sophisticated technology, and trading across multiple asset classes and global markets.

What you will do

• Create practical solutions for systematic equity trading or fixed income options desks.
• Analyze market data, historical trends, and relationships across multiple asset classes.
• Develop mathematical models, quantitative methods, and machine learning techniques to identify trading opportunities.
• Build and refine research infrastructure and tools with traders and quantitative researchers.
• Use simulation, back-testing, and validation infrastructure to evaluate proposed models.

Requirements

• Pursuing a Bachelor’s, Master’s, or PhD in Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance, or a related technical discipline, with graduation between December 2027 and August 2028.
• Proficiency in Python and its machine learning ecosystem, including NumPy, pandas, and scikit-learn.
• Programming experience working with large datasets.
• Strong analytical and problem-solving skills with a solid foundation in statistics.
• Working knowledge of probability theory, stochastic calculus, and numerical algorithms such as finite differences and Monte Carlo simulation.
• Strong written and verbal communication skills for reporting research results and methodologies.

Nice to have

• Exposure to Natural Language Processing or High-Performance Computing.
• Publications in a top-tier journal focused on Natural Language Processing or High-Performance Computing.

Culture & Benefits

• Projects are advised by traders and provide practical trading-environment experience.
• Mentorship with an experienced professional, including discussions of goals, challenges, and development.
• Fully furnished apartments located close to the office.
• Educational, social, and team-building activities during the summer.
• Options and technology immersion courses covering the relationship between trading and technology.