Financial Crime Data Analyst - AVP

Description

The team sits within transaction monitoring in financial crime and needs an analyst who can apply data analytics to that space.

The role centres on designing, building, deploying and maintaining statistical, mathematical and machine learning models that help teams make decisions and solve hard problems.

This is an Assistant Vice President level position.

Responsibilities

• Gather data from internal databases, external datasets and real-time feeds.
• Clean and pre-process data so it is accurate and fit for building models.
• Design and put in place data management approaches that keep models maintained and support future development.
• Build and deploy statistical and machine learning models for credit risk assessment, fraud detection, customer segmentation and marketing optimisation.
• Track model performance in real time and spot potential problems or bias.
• Lead training, mentoring and knowledge-sharing sessions to strengthen machine learning skills across the organisation.
• Assess and pilot new technologies, tools and frameworks so the organisation keeps pace with AI developments.
• Lead a team on complex work that affects the whole business function, setting objectives, coaching people, reviewing performance against those objectives and deciding reward outcomes.
• Advise on complex issues, support People Leaders with escalated matters, and help shape policy.
• Identify ways to reduce risk, write new policies and procedures for control and governance, and take ownership of risk and controls in your work.
• Analyse data from multiple internal and external sources to solve problems creatively.
• Explain complex or sensitive information clearly to varied audiences and win stakeholder support for outcomes.
• Work with other areas of the business to stay current on activity and strategy.
• If you lead people, show the LEAD behaviours: listen and be authentic, energise and inspire, align across the enterprise, and develop others.
• If you contribute as an individual, guide collaborative assignments, bring in other specialisms where needed, and propose cross-functional approaches to reach outcomes.
• Demonstrate the company Values of Respect, Integrity, Service, Excellence and Stewardship, and the company Mindset to Empower, Challenge and Drive.

Requirements

• Hands-on experience with Python and SQL.
• Strong analytical skills and experience developing rules, with an understanding of machine learning.
• Subject matter expertise in transaction monitoring and money laundering analytics.
• Knowledge of risk coverage for money laundering and terrorist financing is highly valued.
• Familiarity with the current regulatory landscape in financial crime compliance is highly valued.
• A background in mathematics or statistics, covering areas such as probability, machine learning and AI, is highly valued.
• You may be assessed on risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, and job-specific technical skills.

Conditions

The role is based in Glasgow.