Jobs at Capco

Manage end-to-end recruitment for consulting talent, including intake meetings, job advertising, sourcing, screening, interviews, candidate communication, pipeline development, employer branding, campus recruitment, and recruitment events. Support HR operations through employee file administration, onboarding, reporting, process improvement, and general administrative activities. Partner with business leaders and contribute to Capco’s growth in Belgium.

Design and maintain scalable test automation frameworks, test strategies, plans, scripts, and quality reports. Perform UI and API automation, manage test environments and data, and integrate testing into CI/CD pipelines. Collaborate with engineering and cross-functional teams on quality-first software delivery, using approved AI tools responsibly. The role also supports performance testing, cloud platforms, DevOps practices, and cloud migration initiatives within financial services technology projects.

Lead large-scale custody and securities services transformation programs for financial institutions. Advise clients on operating models, process optimization, regulatory requirements, automation, and platform modernization. Manage end-to-end delivery, governance, risk, stakeholders, and cross-functional teams while supporting business development, proposals, thought leadership, and consulting practice growth. Mentor teams and develop custody transformation methodologies and capabilities.

Leads business discovery, requirements gathering, process analysis, stakeholder workshops, and transformation recommendations for banking and financial services clients. Documents requirements, workflows, business rules, data needs, and gap assessments; collaborates with data and technology teams; identifies process and reporting improvements; prepares analysis deliverables and presentations; and guides junior business analysts.

Leads business and data discovery, stakeholder workshops, requirements translation, data profiling, reconciliation, quality assessment, lineage analysis, and transformation reviews. Develops source-to-target mappings, supports data products and governance recommendations, communicates technical findings to business stakeholders, and guides junior analysts across banking and financial services client environments.

Leads cross-functional teams delivering banking and financial services business and data transformation initiatives. Responsibilities include requirements gathering, current- and target-state assessments, data analysis, Data Product definition, stakeholder management, workshops, governance, delivery planning, risk management, executive presentations, and implementation roadmaps. The role also involves coaching teams, managing onshore and offshore delivery, and supporting consulting proposals and practice development.

Lead business analysis and functional requirements for Canadian life insurance policy administration system implementations. Facilitate workshops, document product and regulatory requirements, translate specifications into configuration rules, data definitions, integrations, acceptance criteria, and test scenarios. Support solution design, configuration validation, defect resolution, data conversion, reconciliation, and implementation readiness across annuities, segregated funds, and permanent life insurance products. Collaborate with business, actuarial, operations, technology, and delivery teams.

Manage data governance and quality across financial institutions, including data dictionaries, lineage, controls, regulatory reporting validation, privacy and risk assessments. Partner with business, technology, legal, and risk teams to embed data-by-design principles, align models and data flows, remediate issues, and support transformation initiatives. Facilitate governance forums, coach stakeholders, and promote compliance with GDPR, BCBS 239, and internal standards.

Manage medium-to-large BFSI projects from inception through completion, ensuring delivery on time, within budget, and within scope. Coordinate resources, assign responsibilities, monitor progress, prepare stakeholder reports, manage risks, escalate issues, and take corrective action. Lead governance calls, gather requirements, secure sign-offs, and communicate with executives, managers, customers, and subject matter experts. Support operations and technology transformation initiatives.

Designs and develops AI and machine learning models, including NLP and computer vision systems. Deploys models into scalable production applications using APIs, microservices, and cloud platforms. Handles large datasets, trains and optimizes models, evaluates performance, and collaborates with data scientists and software engineers to deliver business-aligned AI solutions.

Design, develop, and maintain scalable C# and .NET applications, backend services, RESTful APIs, databases, and Azure cloud integrations. Build CI/CD pipelines with Azure DevOps, perform unit testing, optimize data access and database performance, and collaborate with cross-functional teams in Agile environments.

Build and support enterprise production data pipelines using Python, PySpark, Spark SQL, Databricks, Azure, ADLS, Delta Lake, and lakehouse architecture. Responsibilities include batch processing, ETL development, REST API integration, CI/CD, Terraform/IaC, and Spark performance optimization through partitioning, caching, distributed processing, and exception handling.

Develop and support enterprise production data pipelines using Python, PySpark, Spark SQL, Databricks, Azure, ADLS, Delta Lake, and lakehouse architecture. Responsibilities include batch processing, ETL development, REST API integration, CI/CD, Terraform-based infrastructure, and Spark performance optimization through partitioning, caching, distributed processing, and exception handling.

Leads end-to-end UI/UX and product design for digital wealth and AI-enabled products across web and mobile. Responsibilities include user research, journey mapping, information architecture, wireframing, prototyping, high-fidelity UI design, usability testing, design systems, and stakeholder collaboration. The role partners with product, business, engineering, and AI teams to create intuitive, accessible, technically feasible experiences and guide design delivery in Agile environments.

Entry-level graduate analyst role supporting financial-services business areas, potentially including transaction reporting, operations, or compliance. Responsibilities will align with the candidate’s interests, experience, and business needs. Full training is provided, with emphasis on stakeholder communication, analytical thinking, information synthesis, teamwork, and meeting deadlines.

Deliver code end to end through design, development, testing, deployment, troubleshooting, and code reviews. Manage test data, execute batch jobs, automate tasks with scripts, and coordinate data refresh and masking. Apply SQL optimization, Linux/Unix, cloud, DevOps, and Agile practices while collaborating with distributed teams and following IT controls. Java, Python, batch scheduling, Tableau, or Looker experience is advantageous.

Provides local and global IT support through ServiceNow, including troubleshooting software, connectivity, printers, mobile devices, AV equipment, and laptops. Manages workstation inventory, asset tracking, laptop deployment, leaver equipment collection, MacBook support, MDM activities, server-room upkeep, and vendor coordination. Creates Active Directory accounts, prepares equipment, delivers new-starter inductions, documents procedures, and supports regional hardware refresh initiatives. The role may require shift flexibility, regional travel, and availability to start immediately or within one month.

Provides strategic and operational advisory services to optimize a bank’s real estate and physical infrastructure portfolio. Responsibilities include assessing branch, ATM, office, facilities, and asset management practices; optimizing property costs, leases, maintenance, vendors, and lifecycle planning; strengthening governance, resilience, compliance, and operational models; and presenting practical recommendations, business cases, and implementation roadmaps to senior stakeholders.

Design, build, and deploy scalable Azure Databricks data engineering solutions. Develop batch and real-time pipelines using Delta Lake, Spark Structured Streaming, Kafka, and Azure Event Hubs. Create CI/CD workflows with DevOps tools, apply lakehouse architecture and data lifecycle practices, and deliver GDPR-compliant solutions. Collaborate with clients and cross-functional teams to translate business data needs into secure technical solutions while contributing to engineering best practices and continuous improvement.

Designs, builds, and deploys scalable Azure Databricks data engineering pipelines. Responsibilities include developing Delta Lake and streaming solutions, implementing event-driven architectures with Kafka and Azure Event Hubs, creating CI/CD pipelines, optimizing data lifecycles, and translating client data requirements into secure technical solutions. The role also promotes clean code, lakehouse architecture, GDPR compliance, and engineering best practices within consulting teams.