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For Companies At a Glance
- Tasks: Drive AI solutions that create real business value and collaborate with global teams.
- Company: Join a leading financial services firm focused on innovative AI applications.
- Benefits: Competitive salary, professional development, and opportunities for impactful work.
- Other info: Dynamic role with excellent career growth and global collaboration opportunities.
- Why this job: Make a tangible impact in AI while working with top industry professionals.
- Qualifications: 3+ years in AI/ML engineering, strong communication skills, and a proactive mindset.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We are seeking a highly skilled AI Analyst to accelerate the adoption and impact of AI-driven solutions within CLSA’s London office. This role is embedded with business users, responsible for scoping, validating and delivering AI and machine learning applications that drive measurable business value. The position requires close collaboration with both local stakeholders and the global AI leadership, maintaining a dotted-line reporting relationship to the Chief AI Product Manager in Hong Kong. This is an exciting opportunity for an experienced AI engineer to make a tangible impact on business outcomes, working closely with London-based teams and global leadership to deliver innovative, high value AI solutions.
Key Areas of Responsibilities
- Business-Embedded AI Delivery: Engage directly with London-based business teams to map workflows, identify high-value AI opportunities, and rapidly prototype solutions using synthetic or real data. Prioritise and whiteboard ideas with stakeholders, focusing on business impact and feasibility.
- Validation & Quality Assurance: Define and agree on validation criteria with users. Build evaluation frameworks, scale labelling processes, and optimise models based on user feedback and business objectives. Present clear reports on model performance and business outcomes.
- Deployment & Iterative Improvement: Deliver end-to-end AI solutions, from prototype to production, ensuring seamless integration with existing systems and compliance with CLSA’s standards. Iterate quickly based on user feedback, focusing on delivering “micro-wins” and addressing pain points.
- Collaboration & Governance: Serve as the primary AI engineering resource for the London office, while participating in global AI roadmap discussions and best practice sharing. Maintain a dotted-line reporting relationship to the Chief AI Product Manager, ensuring alignment with CLSA’s global AI strategy and standards.
- Training & Support: Support local users in AI adoption, provide training, and act as a point of contact for AI-related queries and troubleshooting. Liaise with the London AI support team and global AI leadership for knowledge transfer and escalation.
Requirements
- Bachelor’s degree in engineering, Data Science or related field preferred.
- Minimum of 3 years of experience in AI/ML engineering, ideally in financial services or a related industry.
- Proven ability to work in a forward-deployed, business-embedded model: onsite engagement, rapid prototyping, and iterative delivery.
- Strong understanding of LLM evaluation, prompt engineering, and model optimisation.
- Excellent communication and stakeholder management skills, with experience working across global teams.
- Familiarity with regulatory, compliance, and data governance requirements in financial services.
- Must be self-motivated with the ability to work independently and as part of a team.
- Excellent command of English – verbal and written.
- Proficiency in SQL and Linux environment operations is essential.
- Knowledge of Futures trading/settlement systems and exchange connectivity; hands-on experience with platforms such as ION, FIS, TT is highly advantageous.
- Proficiency in scripting languages (e.g. Python, Shell, PowerShell) for automation and reporting is preferred but not mandatory.
- Strong troubleshooting skills and experience with system monitoring tools.
- Knowledge of regulatory frameworks (e.g., FCA, EMIR) and their impact on system operations.
AI Analyst, EMEA, IT employer: CLSA
Contact Detail:
CLSA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Analyst, EMEA, IT
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at CLSA or similar firms. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your AI projects. When you get the chance to chat with hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Be proactive! If you see an opportunity at CLSA, don’t wait for the perfect moment. Apply through our website and follow up with a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Prepare for interviews by understanding the business impact of AI solutions. Be ready to discuss how your experience aligns with CLSA’s goals. Tailoring your responses to show you get their needs can make a huge difference!
We think you need these skills to ace AI Analyst, EMEA, IT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the AI Analyst role. Highlight your experience in AI/ML engineering, especially in financial services, and showcase any relevant projects that demonstrate your ability to deliver business value.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your skills align with CLSA’s goals. Don’t forget to mention your experience with stakeholder management and collaboration, as these are key for this role.
Showcase Your Technical Skills: Be sure to list your technical proficiencies clearly, especially in SQL, Linux, and any scripting languages you know. If you have experience with LLM evaluation or model optimisation, make that stand out!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at CLSA
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially in the context of financial services. Be ready to discuss specific projects you've worked on, focusing on how you scoped, validated, and delivered AI solutions that drove business value.
✨Showcase Collaboration Skills
Since this role involves working closely with local stakeholders and global teams, prepare examples that highlight your collaboration skills. Think about times when you successfully engaged with different teams to map workflows or prototype solutions.
✨Prepare for Technical Questions
Expect questions around LLM evaluation, prompt engineering, and model optimisation. Brush up on SQL and Linux operations, and be ready to demonstrate your proficiency in scripting languages like Python. Having hands-on experience with platforms like ION or FIS will definitely give you an edge.
✨Communicate Clearly
Strong communication is key in this role. Practice explaining complex AI concepts in simple terms, as you'll need to present reports on model performance and business outcomes. Being able to articulate your ideas clearly will impress the interviewers.