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

Apply Now

Associate Director - Technology Risk ›

Aztec
London
8 months ago
Applications closed

Related Jobs

View all jobs

Real World Data Scientist (Associate Director)

Associate Professor/Senior Lecturer in Medical Artificial Intelligence (AI) and Data Science

Associate Professor/Senior Lecturer In Medical Artificial Intelligence (Ai) And Data Science

Associate Data Scientist (Performance Management, MI & Data Analytics)

Associate Professor - Data Science/ Statistics - Mumbai Enterprise Campus

Research Associate in Causal Machine Learning

We can consider hybrid or fully remote work in the UK.We’re looking for a self-motivated and driven individual with apassion for technology risk management who is looking for anexciting role as a technology risk subject matter expert within thesecond line of defence (2LoD) Chief Risk Office. You will provideexpertise, advice and independent challenge around the Technologyrisk and control environment and play a crucial role in developingthe technology risk strategy to protect Aztec fromtechnology-related threats while enabling business growth andinnovation. This role offers the successful candidate extensiveopportunities for development and the opportunity to apply theirknowledge of technology risk at a senior level within a financialservices environment. Key responsibilities: - Development anddelivery of Aztec’s technology risk strategy in line with the ERMFand the Chief Risk Office roadmap, regulatory requirements andindustry best practice, such as COBIT5 / ITIL. - Ensure that keystrategic risks and controls associated with cloud infrastructure,AI, data management, and wider digital transformation areappropriate covered within the ERMF. - Develop, monitor andchallenge the effectiveness of risk appetite and Key RiskIndicators (KRIs). - Work with the Chief Risk Office and TechnologyLeadership to establish a robust risk governance model for managingTechnology risks. Risk Identification, Assessment and Mitigation -Lead the 2LoD oversight of Technology risks including identifying,assessing and monitoring risks related to technologyinfrastructure, cyber security, data, AI and resilience. - Overseeand challenge the Technology risk and control environment,including both their Principal and Risk and Control Self-Assessment(RCSA) processes. - Conduct independent assurance reviews wherenecessary to assess the design and application effectiveness oftechnology controls. - Lead the 2LoD oversight of the management oftechnology vendor risks ensuring that key technology vendors haveappropriate controls in place to maintain their robustness andresilience. - Oversee technology issues management and riskacceptance processes. - Lead on the 2LoD review of materialTechnology Incidents and Risk Events ensuring that actual /potential losses, fix details and root cause analysis is reportingin a timely and accurate manner within risk governance. - Strategicchallenge of 1LoD identification and evaluation of risks associatedwith technology regulatory change and compliance (e.g., DORA, EUArtificial Intelligence Act). - Strategic challenge of 1LoD riskmitigation strategies. Risk Reporting and Insights - Timely andmeaningful production of 2LoD risk reports, dashboards and insightsfor various levels of risk governance (e.g., executive and boardlevel committees) highlighting key vulnerabilities and theappropriateness of mitigation strategies. - Escalate materialtechnology risks and issues within the Chief Risk Office and towider risk governance and recommend appropriate mitigation. -Provide insightful data driven technology risk analysis supportrisk-based decision-making. - Report emerging technology riskswithin risk governance as part of integrated risk reporting. -Provide subject matter expertise on emerging technology risks,including cloud security, AI, operational resilience, and dataprivacy. Risk Culture and Awareness - Take a lead role in embeddinga strong risk culture across Technology functions. - Drive riskmaturity within Technology functions and regularly assess againstAztec’s Risk Maturity Model, reporting outcomes / areas of focuswithin risk governance. - Make risk meaningful and relevant to keystakeholders through training and awareness materials and sharingbest practice in clear easy to understand language. - Delivertraining programmes on technology, cyber, and resilience risks. -Strategic challenge of Aztec’s technology, data, AI and cybersecurity strategies, and be able to articulate and assess theassociated risks. - Lead 2LoD oversight on Technology relatedtransformation initiatives including attendance at projectSteerCo’s to provide independent challenge and advice. - Act as asubject matter expert on AI including providing effective 2LoDoversight and challenge on the implementation of Aztec’s AIstrategy and AI Risk Management Framework. Stakeholder Management /Line Management - Be a trusted 2LoD partner to Technology functionscultivating effective relationships and networks and be seen as anescalation point for technology risk related queries and advice. -Partner with 1LoD business colleagues to enhance resilience,mitigate technology and cyber risks, and integrate riskconsiderations into Technology strategy and operations. - Providethought leadership to clients and other senior stakeholders. -Attend risk governance committees as a senior Chief Risk Officerepresentative including the Information Security Forum and DataGovernance and AI Committee. - Represent, as required, the ChiefRisk Office as the technology risk SME at executive and board levelrisk committees. - Be a 2LoD contact point for auditors, clients,and other external stakeholders. - Actively manage the performanceand development of direct reports ensuring a structured andmotivating environment and results driven approach. Skills,knowledge, expertise: Qualifications and experience - Priorexperience within a financial services or Fintech environment. -Educated to degree level in a relevant subject and / or hold atechnology professional qualification. - Deep technical knowledgeof technology related regulation (e.g., DORA, GDPR, EU AI Act). -Experience with third-party and outsourcing risk, AI and digitaltransformation risks. - Experience of developing and operatingTechnology Risk Management Frameworks such as ITIL, COBIT, NIST,ISO. - Demonstrable extensive relevant experience of technology andchange / operational risk in either a 1LoD or 2LoD capacity (2LoDpreferable). - Experience in scenario analysis and resilienceimpact assessments would be advantageous. Core skills andcompetencies - A strong working knowledge of Microsoft productsincluding Excel and Word, strong analytical skills and ability toprovide risk intelligence analysis. - Highly developed written andverbal communication skills and demonstrable experience interfacingwith senior stakeholders to establish relationships and become atrusted advisor. - An ability to apply technical knowledge in apractical and balanced manner and balance commercial issues andbusiness objectives within the confines of the ERMF. -Independently minded and able to challenge constructively andprofessionally. - Result orientated, self-motivated, capable ofplanning and managing own workload and negotiating, influencing andbuilding consensus in a challenging environment. - Advancedpresentation skills including the use of Microsoft PowerPoint andability to produce concise Executive level risk reports. We willprovide the training, both in-house for relevant technicalknowledge and also professional qualifications to enhance yourprofessional development. You will need to be quick to learn newsystems and great with people, as close working relationshipsbetween our colleagues and clients is at the heart of what we do.#J-18808-Ljbffr

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.