The opportunity
Competency in two or more of the following:
What you'll do
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
What they're looking for
- 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
- You have rich trading/financial derivatives experience (hard-requirement)
- 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
- An analytical software (e.g. R, SAS)
- A data visualisation tool (e.g. Qlikview, Tableau, PowerBI)
