Location - Glasgow, (Edinburgh is also fine)
Duration - 6 months
Onsite Requirements - 2-3 days onsite
Skills
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.
Required Skills
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 similarNice 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
What We're Looking For
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
Salary description
£560.00 - £565.00 per day