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 cross-functional teams in delivering outcomes using Agile practices, managing risks, and ensuring stakeholder alignment while focusing on automation and data-driven delivery.

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 Finance SME (Manager) manages financial data, ensures compliance with regulations, partners with global teams, and improves processes. Strong analytical and Excel skills are essential.

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.

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

Manage and optimize projects across various programs, facilitating communication, analyzing processes, and ensuring compliance. Support stakeholder alignment and continuous improvement initiatives while overseeing resource management and quality assurance activities.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

Work on FINREP financial reporting assessments: review EUCs to validate data sourcing, transformation, mapping to GRCA codes, and Saracen uploads. Perform detailed report production assessments, document findings, and liaise with Financial Accounting and Group Regulatory Financial Reporting stakeholders to ensure regulatory compliance.

Support regulatory reporting and modelling activities: gather and cleanse model inputs, prepare datasets and run models, validate regulatory/financial data and outputs, translate regulatory rules into data, controls and reports, document requirements, work with testing/tooling for traceability and automation, and support ESG risk quantification, climate scenario design and capital/liquidity resilience analysis.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

Responsible for regulatory submissions, variance analysis, applying regulatory rules, and documenting business requirements while ensuring audit readiness.

Design and develop web applications and UI/UX solutions, collaborate with stakeholders to define technical solutions, implement Python and JavaScript components, evaluate visualization tools and recommend approaches, deliver quality work in Agile teams under tight deadlines.

Lead business analysis for Risk Weighted Assets (RWA) and Counterparty Credit Risk (CCR) initiatives. Translate Basel III/IV and SA-CCR/IMM/EAD regulatory requirements into BRDs, FRDs, user stories, process flows and data mappings. Liaise with Market Risk, CCR, Regulatory Reporting, Finance, Quant and Technology teams to support capital calculations, RWA optimization and regulatory reporting for transformation programs.

Support regulatory liquidity reporting by applying predefined rules and mappings, performing variance analysis and reconciliations, documenting business/functional requirements, coordinating BA/IT/testing streams, and contributing to governance, controls and audit readiness within regulatory change programmes.

Apply predefined regulatory rules and mappings for regulatory submissions, perform variance analysis and reconciliations, and conduct regulatory impact assessments. Document business and functional requirements, support project governance and controls, and assist audit readiness and remediation. Familiarity with collateral, intraday liquidity, and reporting remediation within regulatory change programs is expected.