Quantitative Research Analyst - University Graduate (Europe)

Citadel; City of Westminster; On-site; GBP 60,000 - 90,000; Full time

Job summary

A global market maker is seeking a quantitative researcher to develop automated trading strategies. The position requires advanced skills in statistics and experience with programming languages such as Python, R, or C++. Candidates should possess a quantitative degree and have the ability to thrive in a fast-paced environment, conducting research and analysis to drive innovation in trading systems.

Qualifications

• Bachelor's or master's degree in mathematics, statistics, physics, computer science, or another highly quantitative field.
• Strong knowledge of probability and statistics related techniques.
• Prior experience working in a data driven research environment.

Responsibilities

• Conceptualize and develop mathematical models for trading strategies.
• Back test and implement trading models in a live environment.
• Conduct research and statistical analysis to refine monetization systems.

Skills

Probability and statistics

Machine learning

Time-series analysis

Pattern recognition

Natural Language Processing (NLP)

Analytical skills

Communication skills

Education

Bachelor's or master's degree in a quantitative field

Tools

Python

R

C++

Job description

At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. Specifically, this team develops and tests automated quant trading strategies using sophisticated statistical techniques. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world. Your Objectives

• 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
• Bachelor's or master's 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 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