3 Jenkins Etc Jobs

Embark on a transformative journey as a Data Scientist AI/ML - AVP at Barclays in the Group Control Quantitative Analytics team, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. Group Control Quantitative Analytics (GCQA) is a global organization of highly specialized data scientists working on Artificial Intelligence, Machine Learning, and Gen AI model development and model management including governance and monitoring. GCQA is led by Remi Cuchillo under Lee Gregory, who is Chief Data and Analytics Officer (CDAO) in Group Control. GCQA is responsible for developing and managing AI/ML/GenAI models (including governance and regular model monitoring) and providing analytical support across different areas including Fraud, Financial Crime, Customer Due Diligence, Controls, Security, etc. within Barclays. The Data Scientist position provides project-specific leadership in building targeting solutions that integrate effectively into existing systems and processes while delivering strong and consistent performance. Working with GC CDAO team, the Quantitative Analytics Data Scientist role provides expertise in project design, predictive model development, validation, monitoring, tracking, and implementation. To be successful in this role, you should possess the following skillsets: Python Programming. Knowledge of Artificial Intelligence and Machine Learning algorithms including NLP. SQL. Spark/PySpark. Predictive Model development. Model lifecycle and model management including monitoring, governance, and implementation. DevOps tools like Git/Bitbucket etc. Project management using JIRA. Some other highly valued skills include: DevOps tools TeamCity, Jenkins, etc. Knowledge of Financial/Banking Domain. Knowledge of GenAI tools and working. AWS. Databricks. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in our Noida office. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities Design analytics and modeling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments, and tools. Development of high performing, comprehensively documented analytics and modeling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalize them. Provision of ongoing support for the continued effectiveness of analytics and modeling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Assistant Vice President Expectations To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires an understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

As a Data Scientist AI/ML at Barclays in the Group Control Quantitative Analytics team, you will embark on a transformative journey driving innovation and excellence in our digital landscape. Your role will involve harnessing cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Group Control Quantitative Analytics (GCQA) is a global organization of highly specialized data scientists focusing on Artificial Intelligence, Machine Learning, and Gen AI model development, governance, and monitoring. Led by Remi Cuchillo under Lee Gregory, the Chief Data and Analytics Officer (CDAO) in Group Control, GCQA is responsible for developing and managing AI/ML/GenAI models across various areas within Barclays such as Fraud, Financial Crime, Customer Due Diligence, Controls, and Security. As a Data Scientist in this position, you will provide project-specific leadership in building targeting solutions that integrate effectively into existing systems and processes while ensuring strong and consistent performance. Collaborating with the GC CDAO team, you will offer expertise in project design, predictive model development, validation, monitoring, tracking, and implementation. Key skillsets required for success in this role include Python Programming, knowledge of AI and ML algorithms including NLP, SQL, Spark/PySpark, predictive model development, model lifecycle management, DevOps tools like Git/Bitbucket, and project management using JIRA. Additional valued skills include familiarity with DevOps tools like TeamCity and Jenkins, knowledge of the Financial/Banking domain, GenAI tools, AWS, and Databricks. Your primary purpose in this role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. You will be accountable for designing analytics and modeling solutions, collaborating with technology, developing high-performing solutions, implementing models, providing ongoing support, and ensuring conformance to Barclays Enterprise Risk Management Policies. As an Analyst in this role, you are expected to perform activities in a timely manner to a high standard, drive continuous improvement, demonstrate in-depth technical knowledge and experience, lead and supervise a team if applicable, partner with other functions, take responsibility for operational processing and activities, escalate breaches appropriately, advise decision-making, manage risk, and strengthen controls. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive.,

Embark on a transformative journey as a Data Scientist AI/ML at Barclays in the Group Control Quantitative Analytics team, where you'll spearhead the evolution of the digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Group Control Quantitative Analytics (GCQA) is a global organization of highly specialized data scientists working on Artificial Intelligence, Machine Learning, and Gen AI model development and model management, including governance and monitoring. GCQA, led by Remi Cuchillo under Lee Gregory, Chief Data and Analytics Officer (CDAO) in Group Control, is responsible for developing and managing AI/ML/GenAI models, governance, regular model monitoring, and providing analytical support across different areas within Barclays, such as Fraud, Financial Crime, Customer Due Diligence, Controls, and Security. The Data Scientist role involves project-specific leadership in building targeting solutions that integrate effectively into existing systems and processes, delivering strong and consistent performance. Collaborating with the GC CDAO team, the Quantitative Analytics Data Scientist provides expertise in project design, predictive model development, validation, monitoring, tracking, and implementation. To be successful in this role, you should possess skills in Python Programming, Artificial Intelligence, Machine Learning algorithms including NLP, SQL, Spark/PySpark, predictive model development, model lifecycle and management, DevOps tools like Git/Bitbucket, project management using JIRA, and additional skills like DevOps tools TeamCity, Jenkins, knowledge of Financial/Banking Domain, GenAI tools, AWS, and Databricks. This role is based in the Noida office and aims to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Accountabilities include designing analytics and modeling solutions to complex business problems, collaborating with technology on dependencies, developing high-performing analytics solutions, implementing models, providing ongoing support, ensuring conformance to Barclays Enterprise Risk Management Policies, and working within the defined control environment. Analysts are expected to perform activities in a timely and high-standard manner, demonstrating technical knowledge and experience in their area of expertise, leading and supervising a team, partnering with other functions and business areas, and taking responsibility for risk management and strengthening controls. They are also expected to align with Barclays Values and demonstrate the Barclays Mindset. Join Barclays as a Data Scientist AI/ML and contribute to shaping the future of digital innovation within the Group Control Quantitative Analytics team.,