Requirements

• A current undergraduate, master's, or PhD student in a quantitative subject
• Strong critical thinking skills and exceptional problem-solving ability
• Comfortable applying statistical concepts to real-world data
• Experience using Python, including for exploratory data analysis and visualization
• Strong communication skills
• An interest in financial markets
• Ability to work independently on research projects and a willingness to learn

Nice to Haves

• Active Git Hub or Kaggle profiles
• Experience selecting, developing, and refining machine learning models
• Knowledge or interest in natural language processing
• Demonstrable proficiency in statistical data analysis

What You'll Be Doing

• Apply your knowledge to support the exploration, enrichment, and creation of new datasets for research
• Use data blending, statistical analysis, and machine learning methods to scale and automate data analysis
• Build tooling to enable data science initiatives across the company
• Work with a multi-disciplinary team on important data challenges within the firm

Perks and Benefits

• Highly competitive compensation plus accommodation
• G-Research community with weekly intern activities
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 30 days' annual leave pro-rated
• Informal dress code and excellent work/life balance
• Central London office close to 5 stations and 6 tube lines