Jobs at EXL

Designs and delivers technology- and AI-enabled finance transformation solutions for clients. Responsibilities include assessing and optimizing finance processes, designing target operating models, supporting ERP and automation initiatives, developing AI use cases and business cases, contributing to proposals and go-to-market propositions, facilitating client workshops, and supporting transformation delivery. The role requires strong finance process knowledge, consulting experience, and collaboration across finance, technology, data, and AI teams.

Conduct data governance reviews, assessments, and sign-offs for strategic initiatives. Ensure compliance with Data Minimum Standards, data ownership, quality, metadata, and governance requirements. Represent Data Governance in architecture, Salesforce, and change approval forums; guide project teams through governance checkpoints and required artefacts. Collaborate with delivery, architecture, technology, business, and data stakeholders to promote consistent governance and accountability across initiatives.

Analyze business processes, gather and document requirements, design and implement business solutions, optimize workflows, provide analytical support, and collaborate with stakeholders to address business challenges and improve operations.

Oversee cybersecurity client engagements, manage relationships, develop engagement strategies, lead security projects, ensure successful delivery and client satisfaction, align outcomes with client goals, and provide executive-level support and strategic insights.

Performs detailed reinsurance reconciliations, validates premiums, claims, commissions, recoveries, and related calculations, investigates historical accounting discrepancies, proposes adjustments, and identifies process, control, data, and system improvements. The role supports finance transformation, maintains audit documentation, and collaborates with Finance, Reinsurance Operations, Claims, IT, and client stakeholders to resolve issues and improve accounting accuracy.

Leads client-facing data solution architecture for banking, capital markets, energy, utilities, and travel clients. Designs enterprise data platforms, lakehouses, pipelines, integrations, models, migrations, governance, and AI-ready foundations. Provides technical leadership to delivery teams, conducts architecture reviews, manages risks, supports estimates, and shapes consulting proposals, proofs of concept, and client workshops. Contributes reusable architectures and practice capabilities while balancing technical quality, commercial considerations, delivery feasibility, and regulatory requirements.

Leads UK and EMEA Finance & Risk Advisory Consulting growth through business development, executive client advisory, engagement leadership, and practice strategy. Responsibilities include originating opportunities, leading proposals and negotiations, overseeing regulatory compliance, risk, audit, finance transformation, cybersecurity, procurement, and AI governance engagements, managing revenue and P&L, developing consulting teams, and promoting thought leadership.

Analyze large fan and marketing datasets using SQL, Python, Databricks, AWS, and Snowflake. Build dashboards, recurring reports, audience segments, and campaign performance tracking for international markets. Translate business questions into actionable insights, support marketing campaigns and UAT, investigate data issues, and collaborate with marketing, data engineering, international teams, and external partners. Clearly communicate findings to nontechnical stakeholders while supporting fan growth and engagement analytics.

Leads development, enhancement, governance, calibration, and validation of UK mortgage IRB credit risk models covering PD, LGD, and EAD. The role manages model lifecycle activities, back-testing, performance analysis, deficiency remediation, documentation, stakeholder engagement, and compliance with UK PRA Basel 3.1 requirements. It requires collaboration across credit, risk, business, and support functions, plus strong quantitative, regulatory, coding, communication, and project leadership skills.

Lead financial and regulatory reporting engagements for insurance clients, reviewing statutory statements, management reporting, regulatory submissions, investment accounting, and reporting controls. Manage audit relationships, close processes, remediation, governance improvements, and reporting transformation initiatives. Advise senior finance stakeholders, lead workshops, present recommendations, and coordinate delivery teams across onshore and offshore locations while driving automation, standardization, and technology enablement.

Lead insurance-focused AI and digital transformation consulting across the UK and EMEA. Develop go-to-market strategy, originate and close complex opportunities, manage client relationships, shape data and AI solutions, and lead maturity assessments, target-state blueprints, roadmaps, and implementation prioritization. Own engagement P&L, pricing, budgets, revenue projections, pipeline, margins, and account expansion while advising senior insurance executives and coordinating multidisciplinary consulting, architecture, engineering, data, AI, and delivery teams.

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.

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.

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.

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.

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.

Lead client-facing analytics engagements for insurance clients: drive business development, manage accounts, oversee delivery of analytics use cases (claims, underwriting, marketing, actuarial), collaborate with technical teams on cloud and data solutions, build relationships with senior client stakeholders, and represent the firm in industry thought leadership.