Role overview
- Familiarity with financial mathematics (Ideal)
- Experience working with financial markets and liquidity management (Ideal)
- Experience using probabilistic modeling techniques to generate insights, e.g. Monte Carlo simulation (Ideal)
- Strong data analysis, predictive analytics, and/or optimisation skills using Python, R or similar programming languages.
- Advanced SQL skills
- Familiarity with modern distributed data storage and processing systems such as Amazon Redshift, Hadoop MapReduce and Apache Spark
- Ability to create innovative, out-of-the-box solutions by leveraging analytics, data science and statistics
- Naturally curious and persistent when gathering and synthesizing facts, theories, trends, patterns, inferences, and key issues in complex questions and variable situations
- Track record of diagnosing problems using formal problem-solving tools and techniques
- Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics
- Strong interpersonal and communication skills with the ability to explain technical concepts to non-experts in simple and helpful terms
- Team player that’s enthusiastic about growing and developing others
- You can handle uncertain and ambiguous scenarios
- You keep abreast of developments and emerging trends in Data Science, and influence what is next for Luno
Tags & focus areas
Used for matching and alerts on DevFound Scientist Data Science Senior Crypto Python R Spark