Frontend Engineer

• Design and develop responsive, high-performance user interfaces
• Build scalable front-end solutions using React.js and modern JavaScript frameworks
• Collaborate with backend engineers, architects and business stakeholders
• Integrate RESTful APIs and service layers
• Implement secure authentication mechanisms including JWT and OAuth standards
• Develop reusable components and contribute to design systems and documentation
• Optimise applications for performance, scalability and cross-browser compatibility
• Conduct debugging, testing and defect resolution
• Maintain version control using Git and modern CI/CD pipelines
• Recommend improvements to tools, processes and front-end standards

Frontend Developer, React

Operations

• Prepare and submit statistical reports related to policy, claims, and premium data.
• Ensure timely and accurate submissions to ISO, NCCI, NAIC, and state DOIs.
• Maintain awareness of regulatory changes and ensure reporting compliance.
• Review and validate large datasets for completeness and accuracy.
• Collaborate with IT and actuarial teams to resolve data discrepancies.
• Maintain internal controls and documentation for audit readiness.
• Identify and implement automation opportunities in reporting workflows.
• Support upgrades to reporting systems and integration of new tools.
• Work closely with underwriting, actuarial, compliance, and finance teams.
• Assist in mentoring junior analysts and managing reporting schedules.
• Serve as a point of contact for regulatory audits and inquiries.
• Provide documentation and explanations for submitted reports.

Senior Associate, Insurance, Back Office, Operations, Statistical Reporting

Engineer

• Configure and manage JSON and YAML-based configurations for forms, rules and workflows
• Define dynamic UI forms, field validations and conditional logic using configuration files
• Implement and maintain business rules within a configuration-driven platform
• Translate business requirements into structured configuration artefacts
• Customise application behaviour through configuration rather than code changes
• Validate, test and troubleshoot configuration changes across environments
• Collaborate with cross-functional teams to deliver accurate and scalable solutions
• Maintain version control, documentation and governance of configuration assets
• Ensure compliance with enterprise standards and best practice

Configuration Engineer

Accounting Manager

• Manage end-to-end, multi-entity, multi-currency cash positioning in APAC and EMEA.
• Proactively identify optimization opportunities (e.g., sweeps, intercompany transfers).
• Analyze banking and regulatory constraints.
• Partner with Tax and Legal on subsidiary funding and repatriation strategies.
• Execute onshore liquidity strategy and monitor bank exposure concentration.

Lead Assistant Manager – Treasury Accounting

Insurance

• Conduct virtual and onsite inspections of high value homes and small businesses for personal and commercial lines insurance companies to analyze replacement cost value and to assess risk.
• Conduct property surveys on high value homes, documenting the construction materials, workmanship and special features of the structure.
• Determine square footage of the home through detailed measurements or by replicating available building plans.
• Generate an estimate replacement cost based on industry calculators, EXL resources and your personal findings at the home.
• Observe and assess physical and liability hazards to the property, including natural hazards such as wildfire and hurricane exposure. Document all such hazards for underwriting, including recommendations for risk improvement.
• Conduct underwriting surveys and loss control assessments on commercial businesses.

Field Insurance Inspector, Part Time

Analyst

• The Quality Analyst IV oversees work performed by the Outpatient audit program to ensure that EXL’s standard of accuracy is met.
• Audits are performed by validating the accuracy of the coding billed in relation to the medical documentation.
• The coding auditor determines if a discrepancy exists in the coding and documents the findings.
• The quality analyst undertakes a quality review of random and targeted coding audits to check the accuracy and completeness of audits performed.

Quality Analyst

Manager

• Responsible for reviewing the accuracy and consistency of coding auditors to ensure audits are appropriately marked for findings and no findings.
• Provide root cause analysis on errors.
• Mentor BH auditors and provide feedback when required.
• Perform quality reviews for initial audits and appeals.
• Identify potential opportunities outside of the concept for additional recoveries.
• Recommend process changes to improve quality and performance.
• Effectively communicate with peers and management.
• Perform other duties as assigned.
• Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.

Assistant Manager

Product Manager

• Lead development and execution of product strategies.
• Define product vision and roadmap.
• Oversee product lifecycle management.
• Mentor junior product managers.
• Ensure alignment with business goals.

Digital Product Owner

Executive Assistant

• Designing secure, scalable, and regulatory-compliant data solutions across Banking & Capital Markets value chain.
• Leading end-to-end RFP/RFI/RFQ responses including solution strategy, win-themes, pricing alignment, and delivery model.
• Shaping solution blueprints for core banking modernization, payments transformation, data & analytics, digital channels, wealth/asset servicing, risk & finance, and front-to-back capital markets platforms.

Senior Assistant Vice President

Data Analyst

• Manage the implementation of new data projects.
• Partner with business to translate use case requirements into technical requirements for data engineering and visualization teams.
• Perform testing of dashboards and work with business and developers to resolve issues.
• Provide accurate data in response to data requests.
• Perform detailed data analysis to validate data using Excel and SQL.
• Oversee quarter-end processes to ensure dashboards are updated with accurate data.
• Support self-service datasets and tools to empower business users to independently retrieve data.
• Monitor Jira issues queue and respond to requests in a timely manner.
• Identify opportunities for automation of reports and business processes.
• Develop and maintain documentation related to data projects and processes.

Consultant – Data Analytics

Risk

• Assess current data governance frameworks, policies, and processes across the organization.
• Define and recommend a future-state Data Governance operating model aligned with business objectives and industry best practices.
• Develop a roadmap and bridging strategy to transition from current-state to future-state DG capabilities.
• Lead and facilitate discussions with stakeholders, including business leaders, IT, and data management teams, ensuring alignment and consensus.
• Guide implementation of Data Governance, Master Data Management, and Reference Data Management solutions for insurance carriers.
• Provide hands-on expertise with Alation for data cataloging, stewardship, and metadata management.
• Leverage Google Cloud Platform capabilities for data governance, data catalog, and cloud-based data management solutions.
• Modern Data Governance experience with a focus on AI-led initiatives and opportunities to leverage Agentic and Generative AI capabilities

Data Governance CNA

Consultant

• Design and optimize language models that can analyze and understand textual data. Your work will enable us to uncover meaningful patterns, trends, and insights from unstructured information, ultimately solving analytical use cases.
• Utilize sophisticated algorithms and methodologies to refine and improve the performance of our models, enabling accurate predictions and actionable outputs for analytical use cases.
• Stay informed about the latest advancements in NLP and LLM models and help us identify and adopt cutting-edge techniques. Enable us to continuously improve our language models and effectively address diverse analytical use cases.
• Work closely with cross-functional teams to address complex business challenges using LLM models. Help define the requirements to build and scale large language models across our customer base.
• Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles.
• Document your methodologies, experiments, and results in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders.

Consultant – B2

• Convert high-level business needs into detailed technical mapping specifications for Data Engineers.
• Investigate data lineage, trace transformations, and validate upstream → downstream flows.
• Analyse large datasets across Derivatives and Non-Derivatives products to identify data gaps and inconsistencies.
• Lead complex data mapping analyses for Counterparty Credit Risk (CCR) to migrate the reporting from On-Prem to GCP platform.
• Engage closely with Risk, Finance, Operations, Tech, and Data Engineering teams to gather requirements.
• Facilitate working sessions, clarify logic, and ensure adherence to regulatory expectations.
• Coordinate dry-run cycles of RWA calculations on the GCP strategic platform.
• Support user testing, validation, and sign‑off activities with Risk and Ops teams.

Business Analyst, Data

Compliance

• Provide executive leadership and drive organizational growth through strategic initiatives.
• Set company vision, manage executive team, oversee major projects, and represent the organization externally.

Senior Executive – Compliance, Line Compliance

Data Scientist

• Design, develop, and deploy Generative AI applications using LLMs (e.g., GPT-based, open-source models).
• Build and optimize prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning pipelines.
• Integrate GenAI models into production systems using APIs, microservices, and cloud platforms.
• Collaborate with product managers, data scientists, and backend engineers to translate business needs into AI-driven solutions.
• Evaluate model performance, mitigate hallucinations, and improve accuracy, safety, and latency.
• Implement monitoring, logging, and feedback loops for continuous model improvement.
• Stay current with emerging GenAI frameworks, tools, and best practices.
• Ensure compliance with security, privacy, and responsible AI guidelines.