Jobs at EXL

Own the UK marketing strategy for Insurance and Banking, driving brand recognition, demand generation, qualified leads, pipeline growth, and priority account nurturing. Develop industry marketing programs, coordinate globally distributed specialists, partner with executives and sales teams, measure performance and ROI, and optimize campaigns. The role requires strategic planning, hands-on execution, stakeholder influence, data-driven decision-making, and integrating AI into marketing workflows.

Support design, placement and administration of ceded reinsurance programmes. Analyse large datasets to inform portfolio optimisation, renewals and risk management. Prepare submission packs, renewal documentation and management information, maintain reinsurance data/systems, liaise with brokers, underwriters and cross-functional teams, and support process improvement and automation initiatives.

Lead development of advanced analytics and machine learning models, create algorithms from scratch, analyze large datasets and relational databases, interpret results and recommend solutions, act as domain expert, perform manual claim selection and audit review, and generate new selection concepts/queries. May lead and manage a team.

Lead onshore stakeholder engagement to gather and translate business requirements into technical specifications for Power BI reporting and analytics. Coordinate offshore development, validate data models and dashboards, ensure traceability, manage priorities and delivery, and support insurance data requirements across underwriting, premium, claims, and bordereaux.

Lead qualitative and quantitative research to inform strategic decisions. Perform market sizing, landscaping, pricing and workflow analysis, build reports and dashboards, prepare and validate data, liaise with senior stakeholders and vendors, and support marketing and commercial strategy and governance initiatives.

Design, develop, configure and maintain Earnix-based pricing and decisioning solutions for P&C insurance. Integrate Earnix with enterprise systems, build data ingestion and model deployment pipelines, support testing, production reliability, troubleshooting, and documentation while collaborating with actuarial, data, and IT teams.

Lead strategic account growth across UK & EMEA Retail and CPG clients by developing account plans, originating and closing new business, executing go-to-market strategies, advising C-suite stakeholders on data/analytics/AI solutions, and coordinating internal consulting and delivery teams to deliver measurable revenue and client value.

Design, develop, and support enterprise-grade applications using .NET/.NET Core and Python; define application and data architectures (relational, NoSQL, data lakes, streaming); advise on on‑prem and cloud infrastructure (VMs, containers, Kubernetes/AKS, Azure); drive SDLC/DevOps practices and CI/CD; troubleshoot cross-layer issues; collaborate with stakeholders to deliver resilient, secure, and scalable insurance-focused solutions.

Manage end-to-end recruitment for UK & Ireland: develop sourcing strategies, screen and assess candidates, maintain ATS, manage agency relationships, report on hiring metrics, support onboarding, and promote diversity and candidate experience.

Lead design, implementation and optimisation of Earnix pricing solutions for P&C insurance. Provide technical leadership on architecture, model deployment, integrations, data ingestion, monitoring, testing, and production support. Collaborate with actuarial, underwriting, data, and IT teams to ensure scalable, reliable pricing and decisioning systems and contribute to governance and documentation.

Conduct market and competitor research, analyse findings, create professional PowerPoint presentations, support RFPs and client documents, research AI and emerging technologies, use AI tools for research, and collaborate across teams on ad hoc reporting to support business growth.

Lead migration of SAS-based analytical EUCs to GCP by analysing business and risk logic, assessing GCP data landscape, defining data requirements and source-to-target mappings, producing engineering-ready specs, enabling engineering teams, and promoting reusable Consumer Data Products across use cases within an agile migration factory.

Lead design and governance of enterprise conceptual, logical, and physical data models for analytics, BI, data warehouses and operational systems. Define standards, metadata, lineage, and master/reference data models; architect cloud data platforms; collaborate with stakeholders, mentor teams, and optimize performance and data quality.

Senior client-facing consulting leader for Energy & Infrastructure who originates and leads AI- and data-enabled transformation engagements across UK/EMEA. Drives go-to-market, shapes solutions from discovery through delivery, leads multidisciplinary teams, owns P&L and pricing, and grows pipeline, revenue and margins while delivering measurable operational and commercial value for E&I clients.

Design, develop and maintain conceptual, logical and physical enterprise data models. Translate business requirements into scalable data solutions, define source-to-target mappings, support relational and NoSQL implementations, optimise performance, drive data modelling standards, perform reverse engineering, and advise stakeholders on data architecture, governance and integration throughout project lifecycles.

Lead and deliver large-scale finance transformation programmes as a trusted advisor to CFOs. Design target operating models, drive process excellence, ERP modernisation, digital finance, automation and AI enablement, establish programme governance and benefits realization, support business development, and mentor consulting teams to deliver measurable value.

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.

Deliver FCA/PRA-aligned Operational Resilience programmes for UK financial services clients: identify Important Business Services, set impact tolerances, map dependencies, run scenario testing, build resilience frameworks, support governance, audits and remediation, mentor juniors, and embed resilience across business, technology, and third-party functions.

Lead design and deployment of Generative AI/LLM solutions: prompt engineering, fine-tuning, embeddings, RAG pipelines, vector DBs, and end-to-end APIs. Collaborate with engineering and product teams, evaluate model performance, mitigate bias, and optimize production workloads.

Lead and scale an ecosystem-led revenue engine for EXL Data, Analytics & AI. Build hyperscaler and data-platform partnerships (MAG, Databricks, Snowflake), drive co-sell, joint solutions, marketplace monetization, industry-specific offerings, and embed partner-led GTM across sales, solutions, and marketing to accelerate large data and AI transformation deals.