Top Software Engineer Jobs
The Regulatory Model Developer will develop and monitor regulatory models in compliance with global standards, ensuring adherence to Basel III and other regulations. The role involves credit risk analytics, collaboration with various teams, and providing insights to management. Expertise in Python and a strong understanding of regulatory guidelines are essential.
The Model Monitoring & Governance Specialist will develop and implement monitoring frameworks for credit risk models including PD, LGD, and EAD. Responsibilities include model performance analysis, regulatory compliance, data management, and collaboration with teams to enhance model governance and data quality.
The Advanced Data Analytics - Risk Model Developer will develop, implement, and enhance advanced analytics models for risk management in the Wealth and Private Banking sector, utilizing Python and R. Responsibilities include data extraction, model development, stakeholder engagement, and collaboration to drive data-driven decision-making.
The Senior Consultant will design, develop, test, deploy, and maintain large-scale data pipelines, primarily using AWS Glue. The role involves collaboration with cross-functional teams to gather requirements, delivering high-quality ETL solutions, and applying strong AWS development experience for data integration and automation tasks.
The Senior Data Engineer will design and maintain scalable data pipelines, build API integrations, collaborate with analytics teams, and improve data models for business intelligence tools to enhance data-driven decision making.
The Data Modeler will be responsible for data modelling and architecture, translating business requirements into functional specifications, and understanding data structures and SQL. They will also leverage cloud technologies for data-related services.
As a Data Engineer at Capco, you'll work with top banks on data transformation projects. Your role includes developing and optimizing solutions, conducting business analysis, and managing data quality. As you gain experience, you'll lead sub-projects and take on more responsibilities.
The Managing Principal – Data Governance leads projects in data governance, strategy, and analytics, focusing on transforming financial services. Responsibilities include managing business and technical teams, developing relationships with clients, and executing data programs across various sectors.
This role involves leading data governance initiatives, managing business and technical teams, and delivering analytic and data science projects within the financial services sector. It requires expertise in data strategy, management, and emerging AI concepts, as well as active collaboration with clients and stakeholders.
The Senior Data Engineer will design and develop data pipelines, ensuring data quality and security in the AWS Cloud while collaborating with architects and business stakeholders. Responsibilities include implementing best practices for data governance and lifecycle management, as well as maintaining documentation and metadata management.
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