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Ernst & Young

Global professional services: consulting, assurance, tax

Risk Consulting - Actuarial, Healthcare Analytics and Model Validation, Manager

Risk, Regulatory & Legal AdvisoryUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of experience in healthcare analytics, predictive modelling, model validation, actuarial analytics, risk analytics, data science, or related quantitative fields.
  • A Bachelor's or Master's degree in Statistics, Mathematics, Actuarial Science, Data Science, Economics, Engineering, Computer Science, or a related quantitative discipline.
  • Strong understanding of statistical, forecasting, predictive modelling, and machine learning techniques.
  • Advanced proficiency in Microsoft Excel, including PivotTables, Power Query, advanced formulas, data modelling, data validation, and VBA/macros.
  • Strong analytical and problem-solving capabilities.
  • Ability to interpret complex quantitative results and communicate findings effectively.
  • Experience of team management and project delivery.
  • Strong attention to detail and analytical thinking.
  • Excellent leadership skills to manage engagements and ensure smooth delivery.
  • Ability to independently investigate and challenge model assumptions.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities while maintaining high-quality standards.
  • Strong knowledge of healthcare analytics, predictive modeling, data science, and model validation practices.
  • Deep knowledge and experience of the insurance industry and/or consulting, including recent healthcare analytics experience leading engagements with recognized health insurers and healthcare service providers.
  • Up-to-date knowledge of the regulatory environment impacting insurers and other financial service organizations.

Responsibilities

  • Develop, implement, and review solutions within the Insurance service line and in collaboration with other service lines.
  • Work with Senior Consultants, Managers, Senior Managers, and Engagement Partners to deliver projects and generate effective solutions.
  • Provide focused solutions and training to Staff and Senior members.
  • Ensure engagements are delivered within designated timelines and to high quality standards aligned with EY values and commitments.
  • Set and oversee team priorities, communicate project progress and risks, and monitor margins to support efficient resource utilization and delivery performance.
  • Collaborate with client teams, data scientists, business users, and other EY professionals.
  • Validate and review healthcare cost forecasting and claims prediction models.
  • Review claims cost and utilization forecasting methodologies.
  • Assess budget planning and financial forecasting models.
  • Evaluate reimbursement optimization and revenue cycle analytics models.
  • Review Fraud, Waste and Abuse detection models and analytical frameworks.
  • Support validation of AI/ML models used in healthcare decision-making.
  • Review analyses of large healthcare datasets to identify trends, anomalies, and model performance issues.
  • Perform ad hoc analytical projects and research activities.
  • Stay informed about developments in healthcare analytics, predictive modeling, AI/ML, model governance, and business and economic developments relevant to the industry and geography.

Desired Qualifications

  • Experience in US healthcare, health insurance, or managed care organizations.
  • Exposure to healthcare claims analytics, medical cost forecasting, utilization management, or provider analytics.
  • Experience reviewing AI/ML models and predictive analytics solutions.
  • Familiarity with Model Risk Management frameworks and model governance standards.
  • Knowledge of Medicare, Medicaid, commercial health insurance, and provider reimbursement processes.
  • Experience presenting analytical findings and validation conclusions to senior stakeholders.
  • Exposure to cloud-based analytics platforms and modern data ecosystems.
  • Strong SQL skills and experience working with large datasets.
  • Experience using Python and/or SAS for analytics, model development, or validation activities.
  • Experience performing data quality reviews and quantitative testing.
  • Good knowledge of Generative AI and Agentic AI is an added advantage.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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