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- Tasks: Drive AI solutions in a dynamic environment, collaborating with business teams to deliver impactful results.
- Company: Join CLSA, a leading financial services firm, at the forefront of AI innovation.
- Benefits: Competitive salary, professional development, and opportunities for global collaboration.
- Other info: Exciting career growth potential in a fast-paced, collaborative setting.
- Why this job: Make a real difference by implementing cutting-edge AI solutions that enhance business performance.
- 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 Forward Deployment Engineer 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.
- 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.
- 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.
- Excellent command of English – verbal and written.
AI Analyst, EMEA, IT employer: CLSA Global Markets Pte Ltd
Contact Detail:
CLSA Global Markets Pte Ltd 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. A friendly chat can open doors and give you insider info on what they’re looking for.
✨Tip Number 2
Prepare for interviews by practising common AI-related questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your projects! Bring along examples of your work that demonstrate your skills in AI and machine learning. Real-world applications speak volumes about your capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace AI Analyst, EMEA, IT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Analyst role. Highlight your experience in AI/ML engineering and any relevant projects you've worked on. We want to see how your skills align with the job description!
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 you can contribute to our team. Keep it concise but impactful, showing us your personality and enthusiasm.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Linux, and any scripting languages you know. If you have experience with LLM evaluation or model optimisation, make sure to highlight that too. We love seeing those technical chops!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at CLSA Global Markets Pte Ltd
✨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.
✨Engage with Stakeholders
Since this role involves close collaboration with local business teams, practice how you'll engage with stakeholders. Prepare examples of how you've mapped workflows and identified high-value AI opportunities in previous roles. Show them you can whiteboard ideas and prioritise based on business impact.
✨Demonstrate Your Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in deploying AI solutions. Share specific instances where you iterated quickly based on user feedback and delivered 'micro-wins'. This will show your ability to adapt and improve continuously.
✨Communicate Clearly
Excellent communication is key for this role. Practice explaining complex AI concepts in simple terms, as you'll need to present clear reports on model performance and business outcomes. Make sure you can articulate your thoughts clearly, both verbally and in writing.