Jobs at EXL

Processes payments according to company policies and helps maintain accurate, up-to-date accounts receivable records. The role supports finance and accounting operations and requires a relevant academic background with limited prior experience.

Performs accounting and reconciliation activities while providing customer service. The role requires a graduate-level education, knowledge of finance, reconciliation, and accounting, plus customer service experience. Candidates should have 0–2 years of experience.

Oversee end-to-end cash application and accounts receivable operations, including payment processing, reconciliations, unapplied cash resolution, month-end activities, controls, reporting, and escalations. Manage team performance, SLAs, KPIs, stakeholder coordination, and process improvements. The role also supports automation, transitions, migrations, corrective actions, and continuous improvement initiatives using SAP, Excel, and related cash application solutions.

Leads data mining strategies and a team analyzing healthcare claims to identify utilization patterns, anomalies, overpayments, and payment integrity issues. Applies CMS rules, reimbursement knowledge, claims adjudication expertise, and reverse engineering to investigate payment outcomes. Partners with analytics, product, strategy, and compliance teams to translate operational findings into scalable monitoring and detection solutions, validate results against claims realities, and communicate insights to technical and executive stakeholders.

Leads the design and implementation of scalable AI systems, including foundation model selection, context layers, agentic loops, testing, observability, and cloud integration. Translates business needs into AI solutions, owns technical architecture, and provides leadership and mentorship to AI engineers. Requires deep AI engineering expertise, strong cross-functional collaboration, and continuous learning across LLM, Generative AI, and agentic technologies.

Develop and maintain Adobe Experience Manager backend solutions using Java, Sling Models, Servlets, OSGi services, workflows, REST and GraphQL integrations. Manage repositories, indexes, Dispatcher, caching, replication, multisite deployments, and cloud environments. Partner with DevOps teams on CI/CD and Cloud Manager deployments, optimize performance and scalability, implement security practices, and troubleshoot production issues.

Executive role with limited information provided. The only stated qualification is graduate-level status with zero to one year of experience.

Support PMO by developing governance, processes, training, and mentoring for project managers. Provide analytical and administrative support: collect/analyze project data, maintain documentation, track resources, coordinate meetings, and assist with budgeting and financial tracking.

Develop and maintain clean, efficient software; debug existing applications; participate in code reviews; collaborate with developers, designers, and product managers; write unit tests; document features; and continuously improve development practices.

Manage office supplies, coordinate meetings, handle correspondence, and maintain organizational records. The role supports routine administrative and office-management activities.

Design, develop, deploy, and optimize machine learning models and AI solutions. Collaborate with data scientists and software engineers to integrate models into production, analyze complex datasets, maintain documentation, and stay current with advances in AI and ML.

Processes customer payments, reconciles accounts, and manages customer invoices. The role requires a graduate with 1–3 years of experience.

Leads presales activities, including RFP responses, proposals, estimations, presentations, and large-deal pursuits. Coordinates cross-functional stakeholders through opportunity closure, manages PMO governance and program reporting, supports resource and workforce planning, and oversees financial and operational reporting such as forecasting, budgeting, P&L tracking, invoicing, and variance analysis.

Serve as the frontline contact for policyholders in a contact center. Receive inbound calls, process telephone payments and account adjustments, verify billing transactions, resolve billing inquiries, provide technical support, and follow up on outstanding items. Maintain service quality and performance standards while demonstrating strong communication, organization, patience, teamwork, and computer skills in a structured operations environment.

Processes payments, reconciles accounts, and manages customer invoices. The role requires a graduate-level candidate with one to three years of experience.

Leads records maintenance, operational management, contract-related MIS activities, and team management. Requires strong proficiency with Microsoft Office, Power BI, Excel, and PowerPoint, along with a bachelor’s degree and 6–9 years of experience.

Manages data engineering projects, aligns work with business objectives, guides engineering best practices, oversees data engineers, and drives continuous improvement of data processes.

Leads GL accounting, monthly financial close, US GAAP and IFRS reporting, audit management, SOX compliance, statutory filings, reconciliations, journal entries, balance-sheet review, variance analysis, and process automation. Oversees internal, statutory, and local audits, ensuring timely closure and accurate financial statements while maintaining accounting controls and policies.

Lead the design and migration of a Databricks lakehouse platform, including ingestion, data modeling, pipelines, security, governance, performance, and cost optimization. Establish engineering standards for SQL, PySpark, Delta pipelines, testing, CI/CD, and observability. Guide legacy Hadoop and warehouse migrations, create reliable data products, lead technical design reviews, evaluate new Databricks capabilities, and mentor engineers across multiple teams.

Process and resolve high-volume claims, maintain accurate documentation in Origami, communicate with customers and carriers, escalate complex cases, track claims data, identify trends, and recommend loss-prevention improvements.