Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AVP Compliance Monitoring-Data Analytics

Morgan McKinley
London
1 year ago
Applications closed

Key Responsibilities:

In this role, you will be responsible for the compliance assurance and testing programme across the firms banking and securities business under a dual-hat arrangement. Under this arrangement, you will act and make decisions on behalf of both the bank and the securities business, subject to the same remit and level of authority, and irrespective of the entity which employs you.



You will be expected to contribute to the overall compliance assurance and testing framework by:

Leading, managing and owning technically complex, well-articulated and comprehensive reviews of the London and EMEA business areas to provide assurance over compliance and conduct risks to key stakeholders

Scoping reviews and developing test programmes

Tracking, managing and taking ownership of the remediation of compliance issues by working with relevant business stakeholders

Regularly meeting with and engaging with key business stakeholders in order to identify key risk areas and building/maintaining strong relationships with key stakeholders

Contributing to the quarterly and annual risk assessments

Coaching, supporting and training junior members of the team

Providing support to both the Bank and Securities Head Offices

Working in collaboration with the First Line to support their assurance programme

Providing regular MI for management and Head Office

Assisting in the creation and delivery of the department’s Assurance Plan by identifying key areas of focus for reviews,

Identifying compliance and conduct risk topics and communicating to the team, division and senior management on any industry updates.

Supporting and expanding the use of the internal data analytics system to drive testing efficiencies

Actively participating in current CTQA projects and wider initiatives such as compliance framework implementation, risk rollout in EMEA and globally

Acting as SME for the data analytics project and supporting and delivering related User Acceptance Testing (UAT) and other deliverables as part of phased go-lives, delivering and supporting with training sessions to the Testing Team (and more widely) on their use of the system (Sherlock).

Progressing the data analytics strategy (including any Artificial Intelligence related projects) to help increase the profile, investment and usability of Sherlock across other teams, internally and externally to Core Compliance.

Representing Core Compliance at relevant committees and forums across the Bank and Securities

Supporting the build out of the CTQA’s presence in EMEA

Other ad-hoc tasks as requested by management

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.