Overview
In this role you will interpret and model large datasets to uncover insights and build quantitative solutions. You’ll collaborate with analysts and developers to implement analytical models in a fast-paced setting, validating them against historical data. You will translate complex findings for technical and non-technical stakeholders and help advance data-driven decision making across the team. This is an opportunity to contribute to sophisticated models in a highly technical environment and to shape data-powered outcomes.
Responsibilities
- Analyse and interpret large, complex datasets to identify trends and insights
- Develop and enhance quantitative, mathematical and statistical models
- Apply probability and statistical techniques to real-world problems
- Develop, test and validate analytical models and methodologies
- Use programming languages to analyse data and develop quantitative solutions
- Work closely with developers to implement analytical models and solutions
- Back-test models against historical data and assess performance
- Identify opportunities to improve existing models, processes and analytical techniques
- Communicate complex analytical findings clearly to technical and non-technical stakeholders
Key requirements
- PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline
- Strong understanding of probability, statistics and mathematical modelling
- Experience working with large datasets and performing detailed data analysis
- Proficiency in one or more of Python, C#, C++ or Java
- Experience within data science, quantitative analysis or statistical modelling
- Strong analytical and problem-solving abilities
- Excellent attention to detail and numerical accuracy
- Strong communication skills and the ability to work effectively within a team
- A proactive and inquisitive approach to solving complex problems
- strong analytical thinking
- problem-solving abilities
- attention to detail
- Python
- C#
- C++
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