AVP - Model Developer

Role Overview: As an Assistant Vice President - Model Developer at Barclays, you will lead the evolution of the digital landscape by driving innovation and excellence in the development, testing, implementation, and support of quantitative models for various financial aspects across the organization. Key Responsibilities: - Develop predictive, statistical analyses, optimization procedures, and monitoring processes to enhance digital offerings and customer experiences. - Participate in project design and delivery with other functional teams and end-clients within Quantitative Analytics department. - Produce robust documentation to ensure replicability of results and meet Barclays governance requirements. - Collaborate with colleagues to ensure timely project completion and end-client satisfaction. - Lead resource on projects and bank system migrations, managing risks and timelines. - Conduct impact analysis and identify opportunities for code efficiency and data transformation. - Inform the strategic direction of the Python environment and toolset evolution. Qualifications Required: - Experience in developing predictive models, statistical analyses, and optimization procedures. - Proficiency in project design, documentation, and collaboration with stakeholders. - Strong problem-solving skills and ability to make informed decisions. - Familiarity with risk management, change management, and business acumen. - Technical skills relevant to the role, such as Python programming and data exploration. Location: Noida *Note: The JD does not include any additional details about the company.* Role Overview: As an Assistant Vice President - Model Developer at Barclays, you will lead the evolution of the digital landscape by driving innovation and excellence in the development, testing, implementation, and support of quantitative models for various financial aspects across the organization. Key Responsibilities: - Develop predictive, statistical analyses, optimization procedures, and monitoring processes to enhance digital offerings and customer experiences. - Participate in project design and delivery with other functional teams and end-clients within Quantitative Analytics department. - Produce robust documentation to ensure replicability of results and meet Barclays governance requirements. - Collaborate with colleagues to ensure timely project completion and end-client satisfaction. - Lead resource on projects and bank system migrations, managing risks and timelines. - Conduct impact analysis and identify opportunities for code efficiency and data transformation. - Inform the strategic direction of the Python environment and toolset evolution. Qualifications Required: - Experience in developing predictive models, statistical analyses, and optimization procedures. - Proficiency in project design, documentation, and collaboration with stakeholders. - Strong problem-solving skills and ability to make informed decisions. - Familiarity with risk management, change management, and business acumen. - Technical skills relevant to the role, such as Python programming and data exploration. Location: Noida *Note: The JD does not include any additional details about the company.*