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- Tasks: Design and build AI-driven index solutions using Python and advanced analytics.
- Company: Join a cutting-edge engineering team at the forefront of financial technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
- Why this job: Make an impact in finance by leveraging AI and ML to innovate index solutions.
- Qualifications: 10+ years in quantitative research, strong Python skills, and experience with AI/ML frameworks.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a Senior Quantitative Analyst to join an advanced Engineering team, focused on building next-generation, AI-driven index solutions. This role combines quantitative research, software engineering, and AI to develop scalable frameworks that enhance index design, automate workflows, and accelerate delivery.
Key Responsibilities
- Design and build scalable Python-based frameworks for index research, development, and production
- Build and manage robust data pipelines for large-scale financial datasets
- Integrate AI/ML models into enterprise data platforms and applications
- Lead MLOps practices, including model deployment, monitoring, and lifecycle management
- Leverage Generative AI and agent-based systems to automate quantitative modelling and analytics
- Develop and implement institutional-grade index construction methodologies
- Collaborate with engineering, research, and product teams
- Provide technical leadership and mentor junior team members
Required Skills & Experience
- More than 10 Years of experience in quantitative research, development or similar roles
- Solid software engineering practices (Git, CI/CD, testing)
- Hands-on experience with Generative AI and agentic workflows
- Advanced Python skills (NumPy, Pandas, Polars, SciPy)
- Experience with AI/ML frameworks (e.g. PyTorch, TensorFlow)
- Strong foundation in mathematics, statistics, and numerical methods
- Experience with AWS or similar cloud platforms
- Proven ability to handle large-scale data systems
- Experience with MLOps and deploying production AI models
Quant Analyst (Python, ML, AI) in London employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst (Python, ML, AI) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving AI and ML. We love seeing real-world applications of your work, so make sure to highlight any relevant experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and discussing your thought process, as this will help you shine during technical interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join our team.
We think you need these skills to ace Quant Analyst (Python, ML, AI) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, AI, and ML in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention relevant projects or experiences that demonstrate your ability to design scalable frameworks and work with large datasets.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to explain your experience. Make it easy for us to see why you’re a great fit!
Apply Through Our Website: We encourage you 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’s super easy!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the AI/ML frameworks mentioned in the job description. Brush up on your knowledge of NumPy, Pandas, and TensorFlow, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Quant Skills
Prepare to talk about your experience with quantitative research and index construction methodologies. Have specific examples ready that demonstrate your ability to handle large-scale data systems and your understanding of mathematical and statistical concepts.
✨Demonstrate MLOps Knowledge
Since this role involves MLOps practices, be prepared to discuss your experience with model deployment and lifecycle management. Highlight any projects where you’ve integrated AI models into production environments and how you monitored their performance.
✨Collaboration is Key
This position requires collaboration with various teams, so think of examples where you’ve worked cross-functionally. Be ready to explain how you’ve provided technical leadership or mentored junior team members in previous roles.