Assistant VP - Quantitative Analytics

As an Assistant Vice President of Quantitative Analytics, you will be responsible for designing and developing reusable frameworks and libraries for model development, execution, and analysis. Your primary focus will be on implementing models throughout the Software Development Life Cycle (SDLC) using Python and DevOps tools while adhering to best practices. To excel in this role, you must possess a Bachelor's or Master's Degree in Computer Science or related fields, along with strong fundamentals in Computer Science. Your experience in software development covering the complete SDLC, paired with a deep understanding of software design patterns, will be crucial. Proficiency in Python development, familiarity with DevOps tools like Git, Bitbucket, and TeamCity, and a knack for technical documentation are essential. Additionally, your expertise in gathering, analyzing, and documenting business requirements, effective stakeholder management, and timely delivery of projects are key strengths. Your excellent verbal and written communication skills will be vital for successful collaboration with various teams. Valued skills for this role include experience in a financial institution delivering analytical solutions, proficiency in Model deployment frameworks like Databricks and Kedro, and a background in developing frameworks for mathematical, statistical, and machine learning models used in business decision-making. Your responsibilities will include designing analytics and modeling solutions for complex business problems, collaborating with technology teams to specify dependencies, developing well-documented analytics solutions, and supporting the operational effectiveness of models. Compliance with Barclays Enterprise Risk Management Policies, particularly Model Risk Policy, and ensuring all development activities adhere to defined control environment are also part of your role. As an Assistant Vice President, you are expected to advise on decision-making, contribute to policy development, and ensure operational effectiveness. If leading a team, you will set objectives, coach team members, and demonstrate leadership behaviours such as listening, inspiring, aligning, and developing others. If an individual contributor, you will guide team members, identify new directions for projects, and consult on complex issues. Your ability to collaborate with other functions, engage in complex analysis of data, and communicate effectively with stakeholders will be crucial for success in this role. Demonstrating the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with embracing the Barclays Mindset to Empower, Challenge, and Drive, are essential for all colleagues.,