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For Companies At a Glance
- Tasks: Drive AI solutions in a dynamic environment, collaborating with teams to deliver impactful projects.
- 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 outcomes.
- Qualifications: 3+ years in AI/ML engineering, strong communication skills, and proficiency in SQL.
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.
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.
- 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 in London employer: CITIC
Contact Detail:
CITIC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Analyst, EMEA, IT in London
✨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 really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a few case studies that highlight your AI projects. When you get the chance to chat with hiring managers, share how you've tackled real-world problems with AI solutions.
✨Tip Number 3
Be ready for the interview! Research common AI-related questions and practice your responses. Make sure you can explain complex concepts in simple terms, as you'll need to communicate effectively with business users.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at CLSA and ready to make an impact.
We think you need these skills to ace AI Analyst, EMEA, IT in London
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 what we're looking for!
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, and don't forget to mention your understanding of business-embedded models.
Showcase Your Communication Skills: Since this role involves collaboration with various stakeholders, make sure to demonstrate your communication skills in your application. We love candidates who can articulate complex ideas clearly and effectively!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at CITIC
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially in relation to financial services. Be ready to discuss specific projects you've worked on, focusing on how you scoped, validated, and delivered AI solutions that had a measurable impact.
✨Showcase Collaboration Skills
Since this role involves working closely with local stakeholders and global teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and any experience you have in managing stakeholder expectations.
✨Prepare for Technical Questions
Expect to be quizzed on your technical skills, particularly around LLM evaluation, prompt engineering, and model optimisation. Brush up on SQL and Linux operations, and be ready to demonstrate your troubleshooting skills with real-world scenarios.
✨Understand the Business Impact
Be prepared to discuss how your AI solutions can drive business value. Think about how you've identified high-value opportunities in previous roles and be ready to articulate your thought process on prioritising ideas based on business impact and feasibility.