Crypto Quant Researcher

As a Crypto Quant Researcher at Citadel Securities, you develop and test automated quantitative trading strategies in cryptocurrency markets. You join a team of quantitative researchers that models markets and brings trading strategies to life using sophisticated statistical techniques. This role is based in Hong Kong, London, Miami, New York, or Singapore.

What you'll do

• Conduct research and statistical analyses in crypto markets
• Drive P&L growth in cryptocurrency trading by refining existing strategies and developing new trading strategies and algorithms
• Work with large data sets, including unconventional data sources, to predict and test statistical market patterns
• Conceptualize valuation strategies, develop and continuously improve mathematical models, and translate algorithms into code
• Back test and implement trading models and signals in a live trading environment

What you bring

• Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field
• Proficiency in probability and statistics such as time-series analysis, machine learning, pattern recognition, and NLP
• Prior experience working in a data-driven research environment
• Hands-on programming experience in scripting languages such as Python, analytical packages such as R or Matlab, and/or compiled languages such as C++
• Strong analytical problem-solving skills demonstrated through your background
• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Nice to have

• Experience working with crypto markets, exchanges, or digital asset trading infrastructure

About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker that provides institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution across a broad array of financial products. Teams of engineers, traders and researchers harness leading-edge quantitative research and machine learning to power analytics and tackle the market's most critical challenges.