Assistant Vice President Transaction Monitoring Analyst

Job Description Purpose of the Role

To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision‑making by analysis and solve complex problems.

• Acquire and collect data from various sources, including internal databases, external datasets and real‑time feeds.
• Perform data cleaning and pre‑processing tasks to ensure data quality and suitability for model development.
• Design and implement data management strategies for model maintenance and future development.
• Design, develop and implement statistical and machine learning models for applications such as credit risk assessment, fraud detection, customer segmentation and marketing optimisation.
• Monitor model performance in real‑time and identify potential issues or biases.
• Lead training, mentoring and knowledge‑sharing sessions to uplift ML capability across the organisation.
• Evaluate and pilot emerging technologies, tools and frameworks to keep the organisation at the forefront of AI innovation.

• Advise and influence decision‑making, contribute to policy development and take responsibility for operational effectiveness.
• Collaborate closely with other functions and business divisions.
• Lead a team performing complex tasks, using professional knowledge and skills to deliver on work that impacts the business.
• Set objectives, coach employees and appraise performance relative to objectives.
• Demonstrate leadership behaviours that create an environment for colleagues to thrive: listen and be authentic, energise and inspire, align across the enterprise, develop others.
• Provide advice to People Leaders and support resolution of escalated issues.
• Identify ways to mitigate risk and develop new policies and procedures supporting control and governance.
• Perform complex analysis of data from multiple sources, internal and external, to solve problems creatively and effectively.
• Communicate complex information and influence stakeholders to achieve outcomes.

• Proficiency in Python and SQL with a strong understanding of data analytics and dashboards.
• Hands‑on expertise in transaction monitoring financial crime analytics tasks.
• Ability to prepare and present reports for analysis and risk outcomes effectively.
• Knowledge of risk coverage related to money laundering and terrorist financing.
• Familiarity with the current regulatory landscape within financial crime compliance.
• Background in mathematics or statistics, including probability, machine learning and AI.
• Strong business acumen, strategic thinking, digital and technology skills, and risk and controls knowledge.

Assistant Vice President Transaction Monitoring Analyst – This role is based in Glasgow.