At a Glance
- Tasks: Develop and implement AI and Data Governance frameworks while managing risks and controls.
- Company: Join a large, regulated organisation in the heart of London.
- Benefits: Competitive day rate, flexible working, and the chance to shape AI governance.
- Other info: Collaborate with international teams and senior stakeholders for global governance alignment.
- Why this job: Make a real impact on responsible AI adoption in a dynamic environment.
- Qualifications: Experience in Data Governance and a strong understanding of AI risks and controls.
The predicted salary is between 48600 - 59400 £ per year.
Location: London – 3 days onsite
Day Rate: £550-650 per day
IR35: Outside IR35
Start: ASAP
We’re looking for an experienced AI Governance Specialist to join a large, regulated organisation on an initial 3 month contract. This is a hands-on role sitting across AI Governance, Data Governance and Technology Risk, with responsibility for ensuring AI and data are adopted responsibly and effectively across the organisation.
The role involves working closely with Data, AI, Technology, Risk and Privacy teams to develop and embed effective governance around AI and data.
Responsibilities will include:
- Maintaining and developing AI and Data Governance frameworks, policies and controls
- Managing the AI inventory, risk assessments and classification of AI use cases
- Assessing AI risks including bias, fairness, explainability, privacy and resilience
- Running AI Governance Forums and supporting Ethical AI decision-making
- Managing risks, controls, issues and remediation activity
- Working with senior stakeholders and international teams to align local and global governance standards
What we’re looking for:
- Strong background in Data Governance / Data Management who have moved into AI Governance, Responsible AI or Model Governance.
- Demonstrable experience developing and embedding governance frameworks alongside a good understanding of risk, controls, policy and assurance.
- Experience within financial services, insurance or another highly regulated environment.
They ask for 3 days a week in London.
AI Governance Specialist employer: Barclay Simpson
Barclay Simpson is an excellent employer, offering a dynamic work environment in the heart of London where compliance professionals can thrive. With a strong focus on employee growth and development, the company provides ample opportunities for career advancement while promoting a collaborative culture that values innovation and teamwork. The hybrid working model allows for a balanced work-life integration, making it an attractive choice for those seeking meaningful and rewarding employment in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Governance Specialist
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We think you need these skills to ace AI Governance Specialist
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Barclay Simpson, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Barclay Simpson, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Barclay Simpson’s attention and show the tangible impact of your work.
How to prepare for a job interview at Barclay Simpson
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Barclay Simpson.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Barclay Simpson.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Barclay Simpson.
