The Company is seeking a Vice President, Quant AI/ML Model Developer to join their dynamic team. The successful candidate will be responsible for designing, developing, implementing, and supporting mathematical, statistical, and machine learning models and analytics that are integral to business decision-making. This role requires a deep understanding of domain expertise to create analytical and modeling solutions for complex business problems. The VP will also be accountable for collaborating with technology teams, ensuring the efficacy of the developed solutions, and providing ongoing support to users. Key responsibilities include demonstrating conformance to enterprise risk management policies, particularly model risk policy, and ensuring that all development activities are within the defined control environment. The ideal candidate should have a strong background in Python programming, experience with AI/ML model implementation, and a relevant degree in a quantitative or technical field. Previous experience in a leadership role, particularly in a people management capacity, and senior stakeholder management skills are essential. The role demands a professional with a comprehensive understanding of the organization's functions, the ability to manage and mitigate risks, and a proven track record of building and maintaining relationships with both internal and external stakeholders. The role at the company is a unique opportunity to be at the forefront of AI-driven risk solutions, with a focus on developing generative AI applications that will revolutionize the way risk and finance functions operate. The successful candidate will be part of a new Quant AI/ML team, working on high-impact projects and shaping the company's approach to next-generation AI tooling. If you are passionate about innovation, hands-on model development, and have the skills and experience to influence a greenfield capability, this role offers an exceptional platform for professional growth.

Hiring Company

Barclays Corporate Banking