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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.
Responsibilities
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
Provide ongoing support for live analytical solutions, ensuring continued effectiveness for business users
Ensure all development activity conforms to Model Risk Policy and the broader Enterprise Risk Management framework
Requirements
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
Strong communication skills, with the ability to convey complex analytical concepts to both technical and non-technical audiences

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