The Company is seeking an Associate Vice President for Banking Product Analytics with a focus on data science, advanced analytics, and machine learning. The successful candidate will be responsible for extracting valuable insights from the company's data reserves to support strategic decision-making, enhance operational efficiency, and drive innovation. This role involves the identification, collection, and extraction of data from various sources, as well as the development and maintenance of data pipelines. The AVP will also be tasked with designing and conducting statistical and machine learning models, as well as collaborating with business stakeholders to identify opportunities for data-driven value addition. Applicants for this role should have a strong background in data science, advanced analytics, and quantitative analytics, particularly in the context of complex, regulated business environments. Hands-on experience in both deposit and lending analytics, including product performance, customer behavior, and pricing optimization, is essential. The role requires expertise in machine learning, advanced analytical techniques, and experience with GenAI and AI technologies. The ideal candidate will have a proven track record of leading and developing analytics teams, as well as the ability to partner effectively with cross-functional stakeholders. Strong programming skills in Python, SQL, SAS, or equivalent, and experience in operationalizing analytics in production settings are also necessary.

Hiring Company

Barclays Corporate Banking