Jobs at Capco

Build, test, and maintain GCP-based data pipelines and ETL/ELT processes using Python and SQL. Optimize BigQuery queries, design data models, troubleshoot data quality and pipeline issues, collaborate with analysts and engineers, document solutions, and support project tasks while learning new tools.

The role involves working with Temenos T24/Transact in core banking, focusing on securities trading, user acceptance testing, and collaboration with technology teams to ensure systems meet business needs.

The Java Backend Developer will implement change requests, design and build new features, ensure high code quality, and maintain documentation, while working in an agile team environment.

Responsible for full stack development, managing production environments, designing applications, developing APIs, and ensuring stability and resilience in IT operations.

Lead end-to-end delivery of digital transformation projects in banking, managing stakeholders and risks while mentoring teams to achieve goals.

The role involves cleaning data, running machine learning models, developing data models, managing datasets, building dashboards, and documenting requirements.

Execute stress testing using scenarios, assess capital and liquidity impact, document requirements, understand regulatory expectations, coordinate data sourcing, and maintain reporting packs.

The role involves analyzing treasury products, engaging in financial services projects, and helping clients transform their business operations within the banking and insurance sectors.

The Alteryx Developer will design and maintain workflows, integrate Alteryx with SQL databases, develop automation scripts, implement controls for regulatory reporting, and train teams on using Alteryx for analytics.

As an AVP - Finance Data Quality, you will support data services for Finance regarding compliance and risk management, collaborate with IT and business stakeholders, and document data processes.

The job involves delivering finance automation solutions, debugging Python code, ensuring reliable deployments, and collaborating with stakeholders to meet operational standards.

As a POD Lead, you'll oversee data migration projects, utilizing Agile and Scrum methodologies, while leveraging your data expertise to drive transformation in financial services.

The Data Analyst role involves defining source data, mapping data sets, reporting inconsistencies, assisting with data migrations, and managing stakeholder expectations. A focus on optimal solutions and strong communication skills in a banking context is essential.

The role involves managing financial reporting requirements including data assessment and transformation, stakeholder engagement, and ensuring regulatory compliance for reporting processes.

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

The Business Analyst will support the Trading Wind Down programme by managing project milestones, collaborating with stakeholders, tracking activities, and generating reports.

Perform credit underwriting and appraisal for corporate/wholesale clients, prepare end-to-end credit proposals, conduct financial statement analysis and modeling, evaluate loan and collateral structures, assess covenants and monitor compliance.

The Treasury Risk & Controls Specialist will leverage treasury expertise to support risk management initiatives, document internal controls, collaborate with teams on operational risks, analyze data, and drive remediation initiatives.

The Senior Test Automation Engineer will develop, test, and maintain payment applications, focusing on test automation and high-quality software delivery. Responsibilities include designing test cases, building automation frameworks, executing automated tests, and contributing to continuous improvement initiatives.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.