Senior Forward Deployed AI Engineer

Selby Jennings
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Python
Machine Learning
Model Validation
Production Code

Job description

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

Requirements

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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