Jobs at Capco

Design, develop, test, debug and maintain VisionPLUS-based banking applications. Implement COBOL programs in CICS/VSAM/JCL, support batch scheduling, use Endevor/Changeman, follow DevOps/Agile practices, support production deployments and incident response, and drive performance improvements.

Develop and maintain VisionPLUS applications on z/OS: design, code, test, perform production incident fixes, participate in code reviews and audits, support batch/online flows and scheme (VISA/MasterCard) compliance, and produce technical/functional documentation.

Lead development and deployment of production ML models and analytics for wealth management and retail banking. Analyze large datasets, design predictive solutions (segmentation, churn, personalization, risk), build data pipelines and feature engineering, monitor model performance, drive MLOps and responsible AI practices, and communicate insights to stakeholders.

The role involves business analysis for chat-based digital journeys in banking, focusing on AI chatbot and voicebot technologies. Responsibilities include requirements gathering and stakeholder collaboration.

The role involves developing automated solutions for guest access management in SharePoint Online, integrating with tools like ServiceNow/JIRA, and maintaining CI/CD processes.

Lead end-to-end delivery of large-scale technology programs, manage project plans, governance, risks, finances, and stakeholder communications, and coordinate cross-functional, distributed teams to ensure timely execution and continuous improvement.

Lead project delivery in capital markets and trading, driving digital transformation and managing cross-functional teams using Agile methodologies.

Administer and optimize Cloudera CDP/CDH platforms; develop and deploy PySpark/Python data processing; build CI/CD pipelines with Jenkins and GitHub/Bitbucket; integrate SAST tools; tune Hive/Impala SQL; monitor platform health, perform upgrades, troubleshoot, and implement security and governance controls.

The Senior Data Engineer will lead requirements gathering, document business needs, manage projects, drive testing, and improve productivity in data engineering applications.

Design, build, train, and deploy AI/GenAI models (NLP and computer vision). Move research models into production via APIs/microservices/cloud, optimize performance, handle large datasets, and collaborate with data scientists and engineers to align solutions with business objectives.

Lead business analysis for insurance-domain transformation programs: gather requirements, consult on processes and customer onboarding, optimize workflows, work with cross-functional teams, manage senior stakeholders, and apply CRM (Salesforce) knowledge. Familiarity with transformation delivery lifecycles, operating models, and governance (HSBC experience preferred). Strong communication and analytical skills required for fast-paced enterprise environments.

Build, manage, and automate scalable GCP infrastructure using Terraform. Provision core GCP services, develop CI/CD pipelines, implement monitoring and security best practices, collaborate with data engineers, and continuously improve platform reliability and automation under the platform lead.

Lead design and delivery of GCP data platforms using BigQuery, Pub/Sub, and Dataflow. Architect high-volume ingestion and ETL pipelines, drive cloud migrations, mentor engineers, ensure security, cost optimization, and stakeholder alignment to deliver analytics and ML-ready data solutions.

Lead business analysis for real-time payments and traditional payment rails (Check, ACH, Wire, Journal). Elicit, analyze, and document business and functional requirements, collaborate with stakeholders and technology teams, and deliver payment solutions within Agile/Scrum environments. Leverage capital markets and trading journey knowledge.

Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.

Lead end-to-end delivery of treasury and collateral IT integration projects. Combine project management and business analysis to elicit and document requirements, map processes, define target operating models, support UAT, embed NFR and controls, run cross-functional working groups, and present progress to senior stakeholders using Agile practices.

Deliver data-focused manual UAT for liquidity-related systems: perform SQL-driven reconciliations, validate end-to-end processing across UI, DB and reports, triage defects, prepare audit-ready evidence and UAT summaries, and migrate UAT artefacts from Excel into Jira.

Lead test strategy and execution for a large, multi-market banking program. Define incremental testing approach, UAT/SIT governance, entry/exit criteria, coordinate market test leads, manage defects, and report to senior stakeholders to ensure release readiness.

Design and maintain automation frameworks for web and desktop apps, create and integrate CI test pipelines with Jenkins, develop and execute Selenium/Java automated and regression tests, manage and update automation scripts, perform/manual functional testing, document testing activities, and collaborate with onshore/offshore teams to support DevOps and continuous improvement.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.