Jobs at Capco

Lead end-to-end delivery of production-grade ML, Generative AI, and RAG solutions across multiple pods. Develop architecture-aligned delivery plans, manage dependencies, risks, releases, NFRs, and production readiness, while representing teams in senior governance forums. Guide ML versus GenAI decisions, RAG implementation, evaluation, guardrails, security, monitoring, and responsible model usage. Translate technical requirements into actionable epics and stories and ensure measurable business outcomes.

Design, build and maintain scalable Angular (v15+) front-end applications using TypeScript. Implement reactive UIs with RxJS and state management, routing, guards, and HTTP interceptors. Produce automated tests, integrate with back-end APIs, contribute to CI/CD practices, troubleshoot production issues, and mentor other engineers to improve front-end engineering standards.

Analyze transaction management and post-trade processes supporting T+1 delivery. Document requirements, process maps, operational impacts, runbooks, SOPs, controls, exception workflows, and readiness plans. Prepare testing scenarios, validate coverage, log defects, and coordinate retesting. Assess dependencies across custody, settlements, asset servicing, FX, liquidity, and client funding while supporting stakeholder workshops, risk analysis, stabilization, and transformation documentation.

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.

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

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.

Develop and maintain Qlik Sense dashboards and user interfaces, create Qlik load scripts, model data, and work with SQL and relational databases. Apply ETL and data integration concepts, troubleshoot issues, optimize performance, and deliver effective data visualizations for financial services clients.

Designs, experiments with, deploys, monitors, and evaluates machine learning models. Requires full-stack development involving Python, React, AWS, APIs, and SQL, along with statistical and probabilistic foundations. The role supports AI/ML initiatives in a consulting environment serving financial services and energy clients.

Manage and oversee Finance function controls, including SOX and operational risk frameworks. Design and implement controls and processes, support change and transformation programs, document regulatory reporting controls, and analyze data and processes. Build relationships with senior stakeholders, influence control improvements, and ensure traceability across rules, interpretations, calculations, models, end-user computing tools, and data. Knowledge of MREL regulatory reporting and traceability expectations is preferred.

Own the end-to-end testing strategy for a large, multi-market banking program. Plan incremental testing, coordinate market test leads, manage defects, define UAT and production release criteria, oversee test governance and environments, and provide executive reporting across parallel SIT and UAT cycles.

Business Analyst supporting MREL regulatory reporting controls within Treasury Capital Management. Responsibilities include maintaining process documentation, designing and implementing controls in HELIOS, documenting data dictionaries and lineage, capturing data quality controls, and recording regulatory rules and interpretations. The role requires finance controls expertise, audit experience, stakeholder engagement, process and data analysis, and participation in change and transformation initiatives.

Assess FINREP end-user computing reports for accurate data sourcing, transformation, manipulation, regulatory mapping, and Saracen upload. Produce detailed report production assessments, maintain documentation, and support end-to-end traceability to regulatory requirements. The role requires strong analytical, communication, stakeholder management, and organizational skills, with the ability to work independently and deliver under pressure amid changing priorities.

Own the future-state business architecture for regulatory reporting within the finance controllership value stream. Define capabilities, services, processes, operating models, governance, requirements, and measurable outcomes. Represent Finance in technology, data, and AI architecture forums; ensure alignment of designs, data definitions, controls, and delivery backlogs. Support detailed solution design, resolve cross-domain impacts, influence senior stakeholders, drive simplification and standardization, and coach teams on business architecture practices.

Manage UK STDF actuals and stress testing governance, controls, reporting, approvals, delivery timelines, and audit-ready documentation. Oversee risk and control assessments, regulatory report inventories, issue remediation, stakeholder forums, executive sign-offs, and submissions. Ensure readiness for 2027 BCST, coordinate cross-functional engagement with Finance and Treasury Controls Offices, and drive continuous improvement and automation across the stress testing control environment.