Senior Data Analyst, Trading

Responsibilities

• Work across all aspects of data — from engineering to building sophisticated visualisations, machine learning models and experiments — in support of the Trading business
• Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
• Translate complex findings into simple visualisations and recommendations for execution by trading, operational teams and executives
• Be part of a fast-paced industry and organisation where time to market is critical

Requirements

• • Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
  • At least 3 years of full-time work experience in an Analytics or Data Science role
  • A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
  • A natural curiosity to identify, investigate and explain trends and patterns in data, and an ability to break down complex concepts and technical findings into clear, simple language
  • Prior internal/client-facing consulting/business transformation experience preferred
  • A passion for Emerging Technologies related to Blockchain, Machine Learning and AI

Competency in two or more of the following:

• An analytical software (e.g. R, SAS)
• A data visualisation tool (e.g. Qlikview, Tableau, PowerBI)
• A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
• Programming (e.g. VBA, C++, Java, Python)