Data Science / ML Engineer

Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning-driven transaction monitoring capability is already underway within Retail Banking, and the team is now expanding these capabilities into the Business Banking space., * Strong Python programming skills, including data analysis using libraries such as Pandas

• Strong understanding of Machine Learning, including both supervised and unsupervised techniques
• Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches
• Experience working with large-scale datasets, ideally using PySpark
• Strong analytical and SQL skills for handling, querying, and interpreting complex datasets
• Ability to communicate insights effectively through visualisations using tools such as Matplotlib, Plotly, or similar

Nice to Have

• Exposure to model interpretability techniques such as SHAP and LIME
• Previous experience within the Banking / Financial Services sector
• Familiarity with Financial Crime, AML, Compliance, or Transaction Monitoring domains, Candidates with a strong data science and machine learning background who are keen to apply their skills to real-world financial crime and transaction monitoring challenges. While prior domain experience is beneficial, strong technical capability and a willingness to learn the business context are most important.