Head of Financial Crime Surveillance - Director

Morgan McKinley
London
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Artificial Intelligence (AI)

Head of Data Science -Telematics

Lecturer/Senior Lecturer Data Science

Senior Machine Learning Engineer

Artificial Intelligence Specialist

Assistant Professor in Statistical Data Science

Head of Financial Crime Surveillance - Director

Job purpose


Strategic leadership and day to day supervision of the AML Surveillance team, focussing primarily on the framework for the automated monitoring of client activity for the London Branch, strategy, tuning etc.


Close liaison and cooperation with the Head Office and Group Financial Security - on strategic AML topics and BAU activities relevant to London Branch;


Ensuring that, as far as possible, appropriate and effective AML surveillance is conducted across CIB UK in accordance with Group Policies and UK legal and regulatory requirements. Providing expert advice in AML surveillance to UK Businesses.

Key responsibilities


• Manage the team including oversight of workload and ensure the quality of AML surveillance activities.

• Providing expert strategic advice to First and Second Line Business/Compliance on emerging risks, legislation, technology etc. and tactical advice on day to day activities.

• Ensure a robust and effective AML surveillance framework and review programme is in place across CIB UK to support the financial security risk management framework.

• Oversee the regular review of, and improvements to monitoring systems and thresholds/parameters to ensure continued detection of unusual activity is as reliable.

• Provide strategic oversight of UK transaction monitoring developments.

• Provide thought leadership on possible improvements to both monitoring technology and other, non-IT elements of identifying unusual activity.

• Provide thought leadership on the use of non-rule based surveillance technologies e.g. artificial intelligence.

• Lead the collaboration with the business in the development of their AML Surveillance capabilities.

• Lead the oversight of manual transaction monitoring activities.

• Lead the oversight of near shored AML surveillance alert handling activities.

• Lead the collaboration with CIB & Group teams in the enhancement of transaction monitoring capabilities and systems.

• Oversee the configuration and optimal use of customer screening tools.

• Maintain continuous oversight of AML risks identified, with associated financial crime models.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.