At a Glance
- Tasks: Develop AI-driven tools for investment teams and enhance decision-making processes.
- Company: International hedge fund expanding its innovative tech team in the UAE.
- Benefits: Relocation support, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on practical AI solutions and career advancement.
- Why this job: Join a dynamic team at the forefront of AI in finance and make a real impact.
- Qualifications: Degree in a quantitative field and 3-5 years of relevant experience in AI/ML.
The predicted salary is between 60000 - 80000 € per year.
Essential: Relevant Degree + 3-5yrs AI/ML, Quant Research or Data Science + Financial markets/Investment analytics.
Location: London to Abu Dhabi, UAE. Relocation to UAE office in the future once region stabilises, relocation + visa supported.
Pear Talent is representing an international hedge fund, who are expanding their team in the UAE that build AI-driven tools used directly by portfolio managers and investment teams. As an AI Engineer you'll be a key member of a group of software engineers, quants, and data scientists that partner with front-office investment professionals to build and scale bespoke technology solutions across asset classes. Their remit spans data analytics, investment management and augmentation platforms, and cross-asset tooling with production-quality reliability.
Key accountabilities:
- This is a hands-on AI engineering opportunity focused on developing analytics, ML models, and scalable data pipelines that support investment decision‑making, risk analysis, and portfolio monitoring.
- The role spans Python-based modeling, Spark/Databricks pipelines, and building production‑grade tools such as dashboards, APIs, and ML workflows that enable investment teams to generate insights and run scenarios independently.
- This team operates at the intersection of engineering and investing — partnering closely with PMs, quants, and data engineering to design and deploy practical AI solutions rather than purely experimental research.
Required experience:
- Degree in a technical/quantitative discipline (e.g., Data Science, Computer Science, Mathematics, Statistics, Financial Engineering, or related field).
- 3‑5 years or more of experience in quantitative research, data science, or AI/ML-focused team ideally within financial markets or investment analytics.
- Experience in at least one asset class, with a practical understanding of how data and models drive investment decisions.
- Strong proficiency in Python for analytics and modeling (Pandas, NumPy, scikit‑learn, matplotlib, plotly, Jupyter); ability to prototype, test, and deploy end‑to‑end ML workflows.
- Good understanding of machine learning theory and applied techniques.
- Hands‑on familiarity with modern AI technologies and research.
- Working knowledge of the data ecosystem (Spark, Databricks, or equivalent) focused on leveraging these for ML pipeline orchestration rather than pure ETL.
- Comfort with relational databases and SQL.
- Strong communication skills — able to explain AI concepts clearly to non‑technical stakeholders and collaborate effectively across investment, data, and technology teams.
- Curious, collaborative, and experimental mindset, eager to explore new AI capabilities and translate them into tangible business and investment value.
Artificial Intelligence Engineer employer: Pear Talent - Finance Recruitment
Join a forward-thinking international hedge fund that champions innovation and collaboration in the heart of London, with exciting opportunities to relocate to Abu Dhabi as the region stabilises. As an Artificial Intelligence Engineer, you'll thrive in a dynamic work culture that values your expertise, offering robust employee growth opportunities and the chance to directly impact investment strategies through cutting-edge AI-driven tools. Enjoy competitive relocation support, a collaborative environment with cross-functional teams, and the unique advantage of working at the intersection of finance and technology.
Contact Detail:
Pear Talent - Finance Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and finance sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial markets. Use GitHub or a personal website to display your work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and machine learning concepts. Practice coding challenges and be ready to discuss your past projects in detail. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role and company culture.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your relevant experience in AI/ML and data science. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical skills and any projects you've worked on that relate to financial markets.
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for, especially in areas like Python proficiency and machine learning applications.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff. This helps us quickly see why you’d be a great fit!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Pear Talent - Finance Recruitment
✨Know Your Stuff
Make sure you brush up on your AI and ML knowledge, especially in relation to financial markets. Be ready to discuss your past projects and how they relate to investment analytics. This will show that you understand the role and can apply your skills effectively.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and any relevant libraries like Pandas or scikit-learn. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Communicate Clearly
Since you'll need to explain complex AI concepts to non-technical stakeholders, practice simplifying your explanations. Use examples from your experience to illustrate your points, making it easier for interviewers to grasp your ideas.
✨Be Curious and Collaborative
Show your eagerness to learn and collaborate with others. Discuss how you've worked with cross-functional teams in the past and express your interest in exploring new AI capabilities. This mindset is key for the role and will resonate well with the interviewers.
