Data Scientist / Engineer

Data scientists focus on turning raw data into useful information. Their role involves handling vast, often unstructured datasets to uncover hidden patterns, predict future trends, and automate decision-making processes. Data Scientists collaborate with teams across technology and business functions to deliver data-driven solutions that help financial institutions leverage the full potential of data through predictive analytics, automation, and artificial intelligence.

In our sector, Data Scientists work on a wide range of tasks, from algorithmic trading and portfolio optimisation to fraud detection and risk management, relying on a deep understanding of both data science and financial markets.

Key responsibilities

• Develop and implement data solutions to address business challenges such as fraud detection and sales analytics.
• Analyse large, unstructured datasets to identify trends, patterns, and actionable insights that drive strategic decision-making.
• Collaborate with data engineers and business teams to integrate predictive models into financial systems and operations.

Important Skills and Competencies

• Data Analytics: Ability to work with large datasets, including data preprocessing, feature engineering, and applying machine learning techniques to solve complex problems.
• Technical Knowledge: Strong proficiency in programming languages like Python, R, and SQL, with experience in machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Numeracy: Expertise in statistical analysis, predictive modelling, and data visualisation to communicate findings effectively.