AI Engineer

• Driving strategic conversations with clients, customer experience transformation, designing frictionless CX workflows.
• Designing innovative solutions that leverage the latest in Conversational AI, CCaaS (Contact Center as a Service), omnichannel engagement, CRM, and workflow automation technologies.
• Conducting CX discovery sessions, CX maturity assessments, analyze customer journeys, identify transformation opportunities across the CX value chain, and collaborate with sales, delivery, and product teams to develop tailored proposals and solution architectures that address client pain points.
• Engaging with prospects and existing clients to understand their current customer experience landscape, pain points, and business goals.
• Conducting CX discovery workshops and maturity assessments to uncover opportunities for transformation and innovation.
• Analyzing customer journeys and interaction data to pinpoint areas for automation, optimization, and improved engagement.
• Leading the presales process for CX solutions, including proposal creation, solution presentations, demos, and RFP/RFI responses.
• Designing and articulating solutions that leverage technologies such as Conversational AI, CCaaS platforms, omnichannel engagement, and workflow automation.

CX - CCaaS/AI Transformation Lead

Data Scientist

• Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
• Develop long-lasting, trusted advisor relationships with clients
• Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
• Ensure Industry best practices are followed, Communicate and follow up with delivery team
• Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
• Facilitate client working sessions and lead recurring project status meetings
• A typical work day will involve working with stakeholders as individual contributor.

Data Scientist – Gen Ai, Agentic Ai

Data Scientist – GenAi, Agentic Ai

Manager

• Design, build, and maintain secure connectors and pipelines between Databricks workspaces (Delta Lake, Unity Catalog) and Model Context Protocol (MCP) servers.
• Implement and configure MCP servers/clients to expose Databricks data, schemas, and analytical tools securely to AI models and LLM applications.
• Optimize data retrieval, caching mechanisms, and query performance between Databricks and LLM orchestration frameworks to minimize latency.
• Ensure all data exposed through the MCP server adheres to strict enterprise data governance, access controls, and Unity Catalog permissions.
• Partner with AI/ML engineers, data scientists, and software architects to define the context, tools, and prompts required for LLM applications to effectively query Databricks.
• Establish robust logging, error-handling, and monitoring for the Databricks-MCP middleware to ensure high availability and reliability.

Lead Assistant Manager

General Counsel

• Lead technology transaction negotiations in one or more business units;
• Own, enhance and lead our enterprise approach to vendor contracting with direct responsibility for cloud and data agreements;
• Ensure business teams view the implications of contracts from an end-to-end perspective;
• Balance business and contract goals against legal, business, policy and reputational risks;
• Have the judgment to make reasoned decisions to take appropriate risks;
• Be able to defend positions and views to business team members as well as counterparties;
• Experience coordinating with other in-house counsel on issues and be able to work cooperatively as one member of a larger team;
• Background and experience working with complex commercial agreements (i.e. Software Licenses, MSA’s, and others);
• Experience with very intensive, detail-oriented legal work;

VP, Assistant General Counsel – Technology Transactions

Executive

• Execute end-to-end Record to Report (R2R) activities, including General Ledger accounting, journal entries, account reconciliations, and month-end/year-end close processes.
• Prepare and post journal entries for accruals, prepayments, fixed assets, payroll, intercompany, bank, and other General Ledger transactions.
• Perform balance sheet reconciliations, investigate reconciling items, and ensure timely resolution of outstanding issues.
• Manage bank reconciliations, fixed asset accounting (capitalization, depreciation, disposals), and lease accounting activities.
• Support financial reporting by preparing schedules, variance analysis, and month-end close reports.

R2R Executive

Insurance

• Perform end-to-end reinsurance accounting activities for treaty and facultative business, ensuring accurate and timely financial reporting.
• Prepare, review, and post reinsurance accounting entries, including premiums, claims, commissions, recoverables, and settlements.
• Reconcile reinsurance accounts, including ceded and assumed balances, reinsurance receivables/payables, and intercompany transactions.
• Prepare monthly, quarterly, and year-end account reconciliations, resolve outstanding items, and ensure compliance with close timelines.
• Manage reinsurance cash settlements and coordinate with brokers, ceding companies, and internal stakeholders to resolve discrepancies.
• Support reporting related to reinsurance balances, reserves, recoverables, IBNR, DAC, unearned premium, and other insurance accounting requirements.

Reinsurance APAC

Administrative Assistant

• Reinsurance Setup, Sanctions & Submission clearance in the system.
• LPAN creation and/or submission and/or review
• Facultative & Treaty Reinsurance Contract Management - Setting up & maintaining the reinsurance contract.
• Post bind work like Cancellation/endorsement management.
• Premium - Calculating and booking of reinsurance premiums and processing bordereaux in the system.
• Calculating & booking of contractual obligations like Profit commission, Prem adjustments, No claims bonus etc.
• Ensure the quarterly and yearly instructions are reviewed and incorporated.
• Analysis of actual results compared with expectations, as well as prior periods.
• Communicate with customer on day-to-day basis and internal stakeholder on regular basis
• Team handling skills, daily query handling, feedback management to iron out the operational challenges and driving improvements (Lean) to bring better controls.
• Exposure towards training methodology to drive effective training to bring desired result.

Assistant Manager – Insurance, Back Office

• Develop and maintain data pipelines using PySpark and Python, Hive, Oozie
• Write efficient SQL queries for data extraction, transformation, and validation
• Assist in integrating data from multiple sources and ensuring data accuracy
• Support debugging, monitoring, and optimization of data pipelines
• Collaborate with team members to understand data requirements and deliver solutions
• Follow best practices for data engineering and documentation

Assistant Manager

Software Engineer

• On-site coordination with Technical / Product / Scrum Team and help resolve Application Issues
• Work on development, quality, and support activities of business applications
• Work with associated teams and business analysts to understand and elaborate the business and functional requirements
• Collaborate with onshore teams for business and functional requirements, sprint coordination and other delivery-related requirements
• Understand, debug & resolve Application related Issues
• Provide technical oversight to the development team, including design and code reviews
• Complete assigned software projects on time and within budget
• Test and debug software with excellent troubleshooting skills to ensure correct behavior, including unit- and regression-test production and maintenance, where appropriate
• Adhere to all policies and procedures applicable to the position, department, division, and larger organization

Developer – IC

Recruitment

• Manage recruitment processes from sourcing to hiring
• Collaborate with hiring managers to understand role requirements
• Conduct interviews and assessments of candidates
• Provide regular updates to stakeholders on hiring progress

Lead Assistant Manager – Recruitment

Full-stack Engineer

• Own the design and implementation of major product features and systems across the full stack
• Architect scalable, maintainable frontend applications using React and modern state management patterns
• Design and build robust backend services and APIs using Node.js (Express, Nest.Js, or similar)
• Make architectural decisions that balance speed, scalability, security, and maintainability
• Lead by example through high-quality code, thoughtful reviews, and strong engineering practices
• Collaborate with product and design to shape requirements, scope solutions, and manage tradeoffs
• Mentor mid-level engineers and contribute to the growth of the team
• Improve system performance, reliability, and observability in production environments
• Drive adoption of best practices around testing, CI/CD, and code quality

Full Stack Engineer

Vice President

• Review the reconciliation of Balance Sheets accounts, Cash, Tax, Sub-Ledger, Payroll GLs, etc.
• Monitor month end close and ensure completion of all activities related to GL close & Tax Activities
• Driving process improvement programs to enhance shared service operations
• Ensuring all statutory Tax activities are completed within agreed timeline and of the highest quality
• First line review of material transactions and reconciliations
• Providing inputs relating to Intercompany accounting, adjustments, reconciliations, settlements & Issue Resolution
• Establish and maintain relationships with market stakeholders

Assistant Vice President

Business Intelligence Developer

• Design, develop, and maintain interactive dashboards and reports using Power BI
• Collaborate with business stakeholders to gather and translate reporting requirements into technical solutions
• Utilize Copilot capabilities within Power BI and related tools to accelerate report development and generate insights
• Ensure data accuracy, consistency, and performance optimization of reports
• Automate recurring reports and streamline reporting workflows using AI-assisted features
• Create visually compelling and user-friendly dashboards aligned with business needs
• Provide actionable insights through data analysis and storytelling techniques
• Troubleshoot report issues and implement enhancements based on user feedback
• Stay updated with the latest Power BI features, especially AI and Copilot enhancements

EXL