Logo of Huzzle

Internship

Quantitative Research – Summer Internship 2024

🚀 Summer Internship

London

AI generated summary

  • You need a strong quantitative background, expertise in probability/statistics, data-driven research experience, NoSQL/database skills, coding proficiency, independent research experience, multitasking abilities, analytical skills, and excellent communication skills.
  • You will conceptualize and develop valuation strategies, backtest trading models, utilize unconventional data sources, and conduct statistical analysis to refine trading signals in a dynamic environment.

Summer Internship

Research & Development, Software EngineeringLondon

Description

  • As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship.

Requirements

  • Bachelors, Masters or PhD degree in Mathematics, Statistics, Physics, Computer Science, or another highly quantitative field
  • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP)Prior experience working in a data driven research environment
  • Experience with NoSQL databases (e.g., MongoDB)Experience with distributed computing using MapReduce
  • Experience with translating mathematical models and algorithms into code (Python, R or C++)Independent research experience
  • Ability to manage multiple tasks and thrive in a fast-paced team environment
  • Excellent analytical skills, with strong attention to detail
  • Strong written and verbal communication skills

Education requirements

Currently Studying
Bachelors
Masters
PhD

Area of Responsibilities

Research & Development
Software Engineering

Responsibilities

  • Conceptualize valuation strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
  • Back test and implement trading models and signals in a live trading environment
  • Use unconventional data sources to drive innovation
  • Conduct research and statistical analysis to build and refine monetization systems for trading signals

Details

Work type

Full time

Work mode

office

Location

London