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About the role
As an IB Quant Research professional at Barclays, you will work closely with product and coverage businesses to design, develop, and deliver valuable data and analytic content. Your role involves developing and evolving analytic capabilities to support data reliance and create model-driven outcomes. You will collaborate with developers and business consumers to present complex combinations of qualitative and quantitative data effectively for driving commercial outcomes. Key Responsibilities: - Design analytics and modelling solutions to complex business problems using domain expertise. - Collaborate with technology to specify dependencies required for analytical solutions. - Develop high-performing, comprehensively documented analytics and modelling solutions. - Implement analytics and models in accurate, stable, well-tested software. - Provide ongoing support for the effectiveness of analytics and modelling solutions. - Ensure conformance to Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. - Undertake all development activities within the defined control environment. Qualifications Required: - Experience in designing machine learning pipelines. - Proficiency in Python development. - Experience in training, testing, and deploying ML models live. - Background in Computer Science, Engineering, or Math. - 3 to 6 years of experience in monetizing models and signals in a technical and analytic environment. - Previous experience in systematizing businesses. - Advanced Python development skills. - Knowledge of statistics, machine learning, artificial intelligence, and data analysis. - Excellent abstraction and software design skills. - Curiosity and interest in learning about Investment Banking. (Note: The job description does not include any additional details about the company.) As an IB Quant Research professional at Barclays, you will work closely with product and coverage businesses to design, develop, and deliver valuable data and analytic content. Your role involves developing and evolving analytic capabilities to support data reliance and create model-driven outcomes. You will collaborate with developers and business consumers to present complex combinations of qualitative and quantitative data effectively for driving commercial outcomes. Key Responsibilities: - Design analytics and modelling solutions to complex business problems using domain expertise. - Collaborate with technology to specify dependencies required for analytical solutions. - Develop high-performing, comprehensively documented analytics and modelling solutions. - Implement analytics and models in accurate, stable, well-tested software. - Provide ongoing support for the effectiveness of analytics and modelling solutions. - Ensure conformance to Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. - Undertake all development activities within the defined control environment. Qualifications Required: - Experience in designing machine learning pipelines. - Proficiency in Python development. - Experience in training, testing, and deploying ML models live. - Background in Computer Science, Engineering, or Math. - 3 to 6 years of experience in monetizing models and signals in a technical and analytic environment. - Previous experience in systematizing businesses. - Advanced Python development skills. - Knowledge of statistics, machine learning, artificial intelligence, and data analysis. - Excellent abstraction and software design skills. - Curiosity and interest in learning about Investment Banking. (Note: The job description does not include any additional details about the company.)