Data, AI and Emerging Technology Risk Manager

Legal & General
London
1 month ago
Applications closed

Related Jobs

View all jobs

AI Project Manager

Data Scientist

Machine Learning Engineer, London

Machine Learning Engineer, London

AI/Machine Learning, Principal

Senior Corporate Counsel - Intellectual Property & Artificial Intelligence

Data, AI and Emerging Technology Risk Manager Legal & General is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, aiming to build a better society for the long term by investing our customers’ money in things that make life better for everyone and create value for our shareholders.

Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.Our Group Functions provide the services that all areas of the business need. This requires a talented and diverse team behind the scenes, who enable everyone at L&G to do what they do best.Joining us means helping to improve the lives of our customers and contributing to the success of the business every day.Job Description

Are you passionate about the intersection of data, artificial intelligence, and emerging technologies? Do you thrive in a fast-paced environment where your insights can shape the future of risk management? Join our dynamic Group Risk team as a Data, AI & Emerging Technology Risk Manager.In this pivotal role, you will be at the forefront of overseeing and enhancing our Data Risk, AI, and Emerging Technology Risk frameworks. You will scan and assess the global landscape for emerging trends, provide expert analysis, and work closely with our first line teams to leverage new technologies safely. Your contributions will be crucial in ensuring that we stay ahead of potential risks while exploiting new opportunities for growth and innovation. If you are ready to make a significant impact and drive our risk management strategies forward, we want to hear from you.What you'll be doing:Overseeing and helping to develop the Group's Data Management, AI, and Emerging Technology Risk frameworksReviewing and ratifying Data & AI policies, standards, and frameworksCollaborating with Divisional and Group Functions teams to manage and monitor the risk and control environment through insightful risk appetite metrics, report writing and risk deep-divesAssisting in the design of new Risk Frameworks for new & emerging technologiesMonitoring emerging technology risk trends, regulatory developments & writing impactful reports that help prepare defence strategies for upcoming emerging technology threats (e.g. Post Quantum Cryptography)Provide key reporting to our Technology & Data risk committees as well as the Executive Risk CommitteeBecome the SME in the 2nd Line Risk Function and support the Head of the team in rolling out Data & AI Risk Assessment training through lunch and learns, presentations at our away days and one on one coaching to help them spot where risks may emerge within their disciplines and across the GroupSupporting IT and change initiatives to improve customer support and experienceQualifications

Who we're looking for:A strong understanding of data governance and AI risk frameworks (e.g. DCAM, NIST, DAMA-DMBoK) is a must-haveExperience in Risk specialisms, Governance, or Audit within Financial ServicesHands-on experience with Data, Technology or AI solutions (both on-prem and Cloud)Hands-on experience engaging with (or creating) Risk frameworksProven experience in risk management, with a focus on data risk and AIExcellent analytical skills with strong attention to detail and able to write insightful and impactful reportsWe win together and lose together, we run a team-player environment with a good sense of humour and are able to rebound quickly with a think fast, fail fast mindset so are seeking someone who has the right attitude to succeed alongside usWhatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:The opportunity to participate in our annual, performance-related bonus plan and valuable share schemesGenerous pension contributionLife assurancePrivate medical insurance (permanent employees only)At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holidayCompetitive family leaveParticipate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrificeThere are many discounts we offer – both for our own products and at a range of high street stores and onlineIn 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heartAdditional Information

Legal & General is a leading financial services group and major global investor, named Britain’s Most Admired Company in 2023, for the second year running. Rated top in our sector and top for inspirational leadership, we have a strong heritage and an exciting future.We aim to build a better society for the long term by investing our customers’ money in things that make life better for everyone.If you join us, you’ll be part of a welcoming culture, with opportunities to collaborate with people of diverse backgrounds, views and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.We strive to be open, mindful and inclusive, so are always willing to discuss flexible working arrangements and reasonable accommodations for candidates with specific needs.If you’re open to find out more, we'd love to hear from you.Seniority level

Not ApplicableEmployment type

Full-timeJob function

Finance

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.