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Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds
Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development
Design and implementation of data management strategies for model maintenance and future development
Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation
Monitoring model performance in real-time and identify any potential issues or biases
Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation
Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation
Requirements
Ability to solve problems logically and/or creatively, demonstrating professional judgment, quality control and adherence to high standards
Experience in utilizing analytical tools for data exploration, analysis and visualization, including certain coding ability and experience on SQL, Scala / Spark / Python
Databases, structured and unstructured data
Some experience in development of data visualizations/dashboards
Understanding of Data Management & Model Validation principles and controls
Relevant qualifications in data analytics and technical field, with strong organizational skills
Understanding with Machine Learning, LLM and preferably GenAI
Nice to have
An appreciation of Financial Crime, AML and Transaction Monitoring/detection and the systems/processes, including an understanding of AML and terrorist financing trends and typologies
Knowledge of the UK and Global Financial Crime regulatory framework
What we offer
Gain access to wellness rooms, gyms and mental health support
Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
Modern spaces designed for teamwork and brainstorming
There’s so much more than work to involve and engage you on campus. From socialising to sports, from community events to volunteering