Representative

• Handle inbound provider calls, log details, and resolve issues
• Monitor and respond to internal and external emails within established service levels
• Manage the mailbox, assign emails, monitor aging emails, and create reports for management
• Log and return voicemails within established service levels
• Make outbound calls to assist providers with portal navigation, verify contact details, and confirm receipt of request letters
• Escalate unresolved issues to management and follow up as needed
• Communicate and report workflow or system issues to leadership
• Consistently meet quality and productivity standards
• Uphold HIPAA and confidentiality regulations in all interactions
• Support the post-audit process and company-wide programs through other assigned duties

Audit Coordinator – Inbound/Outbound Calls

Data Engineer

• Define and champion the architectural roadmap and best practices for end-to-end data pipelines, ensuring scalability, reliability, and security
• Mentor engineers, conduct code reviews, and drive project timelines for rapid delivery of data products
• Partner with Data Scientists, Analysts, and business stakeholders to translate requirements into production-ready data solutions
• Collaborate with Data Scientists and ML Engineers on data accessibility, model development support, and data quality assurance
• Design, build, and optimize high-volume data ingestion and transformation jobs using dbt Core and AWS Glue
• Develop and maintain modular, reusable data pipelines using orchestrators such as Dagster
• Implement and manage real-time data flows using Confluent platforms or native AWS streaming services such as Kinesis
• Implement data anonymization and comply with data security and privacy regulations
• Implement and maintain the Iceberg open table format for schema evolution and data management
• Optimize query performance and cost efficiency across Snowflake, Amazon Redshift, and AWS Athena
• Integrate monitoring and observability into pipelines using Splunk to identify bottlenecks and troubleshoot production issues

Recruitment

• Provide administrative support to business operations, including document preparation and scheduling meetings
• Handle staff travel arrangements, including booking flights, accommodations, and creating itineraries
• Process and submit expense reports and invoices accurately and in compliance with company policies
• Facilitate internal communication by distributing relevant updates and information to team members
• Provide first-line support for queries and direct team members to the appropriate department or individual
• Serve as a central point of contact for guidance and issues related to process and system functions
• Interact with internal team members and external clients

Sourcing Recruiter

Financial Planning and Analysis

• Oversee accounting, statutory reporting, compliance, and controllership activities for one or more EMEA legal entities, primarily Romania and Bulgaria
• Act as a key liaison between local finance operations, external advisors, auditors, and EXL's global finance organisation
• Lead and coordinate monthly, quarterly, and annual financial close activities
• Ensure accurate and timely preparation of statutory financial reporting
• Review journal entries, balance sheet reconciliations, and supporting schedules
• Analyse financial results and investigate significant variances
• Support consolidation and group reporting requirements
• Manage Romanian and Bulgarian statutory accounting and financial statement preparation
• Coordinate annual audits and act as the primary contact for external auditors
• Ensure compliance with local accounting regulations and company policies
• Oversee compliance with reporting obligations
• Support implementation and monitoring of new accounting standard changes
• Support SOX and internal control compliance activities where applicable
• Partner with internal and external tax advisors on corporate tax, VAT, and transfer pricing matters
• Assist with local tax authority queries and compliance reviews
• Ensure alignment between accounting records, tax filings, and statutory reporting

Finance Manager – Controllership

Data Scientist

• Design, develop, and deploy machine learning and statistical modeling solutions for complex financial and insurance business problems
• Build predictive models using regression, classification, clustering, segmentation, ensemble methods, time-series forecasting, anomaly detection, and propensity modeling
• Perform exploratory data analysis, hypothesis testing, statistical inference, feature engineering, feature selection, model validation, and performance analysis
• Analyze large-scale structured and unstructured datasets to identify patterns, trends, risk drivers, and actionable business insights
• Develop analytics and machine learning solutions for underwriting, claims, fraud/risk detection, customer segmentation, pricing, retention, forecasting, and portfolio analytics
• Design and develop Generative AI and LLM-based applications, including document analysis, summarization, knowledge retrieval, intelligent search, and conversational AI
• Build RAG pipelines using embeddings, semantic search, vector databases, and enterprise knowledge sources
• Apply prompt engineering, few-shot learning, prompt tuning, LoRA/PEFT, and fine-tuning where appropriate
• Evaluate ML and GenAI solutions across accuracy, precision, recall, F1-score, ROC-AUC, model stability, hallucination, relevance, latency, and cost
• Collaborate with business stakeholders, data engineers, ML engineers, MLOps, and product teams to translate business requirements into scalable analytical and AI solutions
• Communicate analytical findings and model outcomes to technical and business stakeholders, focusing on business impact and decision support
• Support productionization, monitoring, governance, and continuous improvement of ML and GenAI solutions

Senior Data Scientist

Account Manager

• Own revenue growth targets across assigned strategic accounts
• Lead creation and conversion of AI-driven opportunities, including net-new deals, expansions, and multi-year transformation programs
• Serve as senior point of contact for ongoing AI and analytics programs, ensuring value realization and executive satisfaction
• Identify whitespace opportunities based on client priorities, competitive dynamics, and transformation roadmaps
• Strengthen relationships across technology, operations, analytics, and digital leadership teams
• Engage CIO, CDAO, CTO, COO, and business-unit leaders to shape AI, data transformation, and digital modernization strategies
• Translate AI/ML capabilities into business-aligned narratives and investment cases
• Host executive briefings, thought-leadership sessions, and innovation workshops
• Lead solutioning of AI and analytics programs with solution architects and delivery leaders
• Guide proposals, value cases, roadmaps, and transformation frameworks
• Collaborate on RFP/RFI responses and structure compelling narratives and architectures
• Partner with EXL delivery teams on go-to-market strategies, messaging, and client expansion
• Identify opportunities across data engineering, cloud modernization, MLOps, digital operations, and industry-specific AI solutions
• Shape scalable offerings, reusable narratives, and industry point-of-view content

Vice President – Account Management

Art Director

• Lead development of innovative campaign concepts for direct mail, digital, email, and multi-channel marketing programs
• Translate client objectives, audience insights, and performance goals into compelling creative executions
• Participate in creative brief development and brainstorming sessions
• Create campaign themes, messaging frameworks, and creative approaches aligned with brand and business objectives
• Use AI-enabled creative tools to generate, evaluate, iterate, and refine campaign ideas, messaging, visual directions, and content variations while ensuring originality, brand alignment, accuracy, compliance, and production feasibility
• Develop headlines, value propositions, offer positioning, direct response copy, and campaign messaging
• Collaborate with copywriters and subject matter experts to refine content and improve performance
• Review and edit creative assets for voice, tone, and consistency
• Partner with designers and production teams to bring concepts to life
• Contribute to visual ideation, layout direction, and creative development
• Provide guidance on design execution, user experience, and customer engagement
• Serve as a subject matter expert in direct mail creative strategy and best practices
• Develop acquisition, cross-sell, retention, and customer engagement direct mail concepts
• Understand direct mail production processes, formats, postal requirements, personalization techniques, and testing methodologies
• Work closely with account, strategy, analytics, production, and project management teams
• Present concepts and creative recommendations to internal stakeholders and clients
• Support the Creative Director in managing priorities across multiple projects and clients
• Ensure creative work is strategically sound, error-free, aligned with client expectations, and consistent across campaigns, channels, and touchpoints
• Participate in creative reviews and provide constructive feedback to team members

Associate Creative Director

• Develop, optimize, and implement marketing strategies for the client's credit card business
• Drive growth of business and member products through data analysis, model creation, strategy development, and performance monitoring across channels
• Collaborate with marketing managers, channel owners, business leads, and external partners on new opportunities and initiatives
• Analyze marketing strategy effectiveness, including funnel efficiency, CPA, and ROI, and provide data-driven recommendations
• Design, analyze, and interpret A/B tests and quasi-experiments
• Design and validate campaign lifecycles, including process flow, data pipeline, model scoring, execution, campaign selection, and file ingestion
• Define KPIs, create reporting frameworks, and develop self-service dashboards
• Manage end-to-end direct mail campaigns, including prescreened and invitation-to-apply campaigns
• Perform deep-dive analyses across funnels, user behavior, monetization, and retention
• Translate business objectives into actionable data-driven tactics and campaigns
• Fulfill partner analysis requests and navigate ambiguity with solution-oriented approaches
• Communicate insights and data narratives to senior leadership and partners

Senior Marketing Data Scientist

Salesforce Developer

• Design, develop, customize, implement, and support Salesforce solutions across Sales Cloud and Revenue Cloud
• Extend the Salesforce platform using Apex, Lightning Components, Visualforce, and Flows to support business requirements
• Understand and work with Salesforce architecture, modules, databases, incident management lifecycle, and web technologies including JavaScript, HTML, and CSS
• Assist with release cycles to implement and deploy new applications and updates to existing applications and code
• Create technical documentation including user guides, release notes, and design documents
• Work with integrated applications such as Oracle ERP/Fusion, Power BI, and HubSpot
• Support the Salesforce Administrator on occasion
• Configure and customize Salesforce workflows, alerts, role assignments, and other platform settings
• Develop and maintain integrations and data flows between Salesforce and third-party systems
• Collaborate with business stakeholders, architects, administrators, integration teams, executives, support personnel, and customers

Salesforce Technical Developer – Manager

• Design and build scalable, production-grade data engineering solutions using the Databricks Lakehouse Platform
• Develop client-focused Proof of Concepts (POCs) demonstrating modern data engineering and analytics capabilities
• Translate business and analytical requirements into robust data models and layered architectures (Bronze/Silver/Gold)
• Design robust data ingestion, transformation, and orchestration pipelines using Databricks best practices
• Implement enterprise-grade data governance, security, and access control using Unity Catalog and related Databricks capabilities

Assistant Manager – Data Engineer

Data Modeler

• Design and maintain conceptual, logical, and physical data models
• Develop scalable dimensional models for analytics and reporting
• Collaborate with data architects and engineers to align models with platform and architectural standards
• Translate business requirements into high-quality, reusable data structures
• Ensure data consistency, integrity, and performance across data layers
• Support impact analysis, data lineage, and metadata documentation

Analyst

• Manage operational delivery and stakeholder relationships for assigned clients
• Provide specialized consulting advice based on engagement requirements
• Support executive-level decision-making
• Independently elicit requirements from the Claims business and translate business needs into strong reporting designs
• Define a target-state insights capability by identifying missing insights, prioritising them with the business, and mapping the path to an optimal solution
• Deliver hands-on in Power BI, from wireframing and prototyping through to finalised, production-grade reports, including enhancements and new builds
• Act as the senior reporting lead and single credible partner for the Claims team, setting direction and driving work forward proactively

Data Analyst

• Act as liaison between technical and business teams
• Connect with client SMEs to understand functionality and data
• Perform data profiling to assess data quality and critical data elements
• Standardize reference and master data across systems
• Create data mapping and data lineage documentation
• Develop data models and design documents explaining data mappings and transformations

Business Data Analyst

• Design scalable data solutions
• Build robust data pipelines
• Model enterprise datasets
• Enable analytics and AI/ML use cases on Palantir Foundry
• Perform data ingestion, pipeline building and transformations
• Build interactive applications using Foundry Workshop, Slate and custom TypeScript frontends
• Deliver complex data engineering solutions in agile environments

• Design and develop data models and analytical solutions
• Optimize data analysis processes and methodologies
• Ensure data solutions meet business and technical requirements
• Provide technical support for data science projects
• Collaborate with stakeholders to address data science needs
• Build statistical models and analyze large datasets
• Present findings to stakeholders
• Collaborate with other data professionals to solve complex problems and improve business outcomes