Assistant VP - Quant Software Engineer (Python)

As an Assistant VP Quantitative Analytics at our company, your primary role will involve designing and developing reusable frameworks and libraries for model development, execution, and analysis. You will be responsible for implementing these models through the complete Software Development Life Cycle (SDLC), utilizing Python and DevOps tools while following best practices. Key Responsibilities: - Designing and developing analytics and modeling solutions to complex business problems using your domain expertise. - Collaborating with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. - Developing high-performing, comprehensively documented analytics and modeling solutions and demonstrating their efficacy to business users and independent validation teams. - Implementing analytics and models in accurate, stable, well-tested software and working with technology to operationalize them. - Providing ongoing support for the continued effectiveness of analytics and modeling solutions to users. - Ensuring conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. - Undertaking all development activities within the defined control environment. Qualifications Required: - A Bachelors or Masters Degree in Computer Science or related fields. - Strong Computer Science fundamentals. - Demonstrable experience in software development, covering the complete SDLC, with a strong understanding of software design patterns. - Expertise in Python development. - Experience with DevOps tools such as Git, Bitbucket, and TeamCity. - Proficiency in technical documentation. - Skilled in gathering, analyzing, and documenting business requirements. - Effective stakeholder management and ability to deliver as per agreed timelines. - Excellent verbal and written communication skills. In addition to the essential skills, the following highly valued skills may be beneficial for the role: - Experience in a financial institution delivering analytical solutions, model implementation, and productionization. - Experience with Model deployment frameworks and workflows (e.g., databricks, kedro). - Experience in designing and developing frameworks for mathematical, statistical, and machine learning models used in business decision-making. - Experience in developing concurrent software solutions and performance benchmarking. This role is based out of the Noida location.,