At a Glance
- Tasks: Design and develop advanced models to solve complex business challenges.
- Company: Leading global investment bank with a high-performing analytics team.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Opportunity to lead projects and influence key business strategies.
- Why this job: Join a dynamic team and make impactful decisions using cutting-edge AI technology.
- Qualifications: Strong background in mathematics, statistics, and machine learning; proficiency in Python or R.
The predicted salary is between 63000 - 77000 £ per year.
Our client, a leading global investment bank, are hiring a Senior Quant Analyst to join a high-performing analytics and modelling team responsible for designing and delivering mathematical, statistical and machine learning solutions that drive key business decisions across the organisation. This is a senior individual contributor or people leadership position for a quantitative analyst with strong expertise in model development, statistical analysis, and machine learning. You will own the end-to-end lifecycle of analytical solutions, from design and development through to implementation, validation, and ongoing support, working closely with technology teams and business stakeholders to operationalise models within a robust control environment.
- Design and develop mathematical, statistical, and machine learning models to address complex business problems.
- Collaborate with technology teams to define data dependencies, development environments, and tooling requirements for analytical solutions.
- Deliver high-quality, well-documented models and analytics, demonstrating their effectiveness to business users and independent validation teams.
- Implement models in stable, well-tested software and support their operationalisation in production.
- Ensure all development activity conforms to Model Risk Policy and the broader Enterprise Risk Management framework.
Strong quantitative background in mathematics, statistics, machine learning, or a related discipline. Hands-on experience developing and implementing models in a financial services or similarly complex environment. Proficiency in Python and/or R, with a focus on clean, production-ready code. Solid understanding of model risk, validation frameworks, and control environments. AVP-level experience with the ability to lead workstreams, influence stakeholders, and contribute to policy and governance.
Senior AI Engineer (Remote) in London employer: Selby Jennings
Selby Jennings is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Employees benefit from extensive growth opportunities, competitive compensation, and a supportive environment that encourages professional development, making it an ideal place for those looking to make a meaningful impact in the finance technology sector.
