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

EY · Bangalore
Senior
PayPay not listed
WhereBangaloreKarnataka
TypeFull time
Posted28 Sep8 days ago, via SimplyHired
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Day work
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Skills they list22 named
Microsoft ExcelStatisticsSASMathsMaster's degreeSQLAnalysis skillsPresentation skillsBachelor's degreeMachine learningTeam managementRisk managementForecastingMacrosVBAPredictive analyticsData scienceAILeadershipCommunication skillsPythonAnalytics
About this job
Location
Bengaluru
Other locations
Anywhere in Country
Salary
Competitive
Date
Sep 28, 2026

Job description

Requisition ID
1746715

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Manager – Healthcare Analytics & Model Validation, EY GDS Consulting

Global Delivery Services is one of EY's greatest global assets – a network of service delivery centers that provide high-quality services at a competitive cost for all EY’s client serving and enablement teams. Every day, we combine our subject matter expertise with our technology and automation skills to develop new solutions that deliver greater value for EY. If you have a passion for enabling world class Actuarial and Analytics services globally to solve the most complex challenges in the financial services industry, come join our dynamic GDS team!

The opportunity

We are looking for a Manager to join our Actuarial and Analytics team delivering solutions to the leading clients in Insurance Sector, working closely with other Staff/Assistants, Consultants/Seniors, Managers, Senior Managers or Client partners in EY’s global network of insurance sector and consulting professionals.

Within our talented and dynamic team, the members work on multiple client engagement teams that perform healthcare analytics, predictive modeling, model governance and help organizations make better business decisions through data driven insights. The role will focus on independent model validation, healthcare analytics, and model risk management activities across financial, operational, predictive, forecasting, and AI/ML models. The team members also receive on-the-job training to acquire practical experience in addressing business/technical issues and in applying industry knowledge and EY policies/procedures on client engagements.

Within our growing team, members work alongside healthcare, actuarial, data science, and business stakeholders to assess model methodologies, assumptions, data quality, performance, documentation, and governance frameworks. The role offers an excellent opportunity to gain exposure to advanced analytical techniques, healthcare economics, predictive modeling, and emerging AI/ML applications while contributing to critical business decisions.

Our growing team of professionals comes from diverse backgrounds and is committed to being trusted advisors to our clients.

Your key responsibilities

As a Manager in Actuarial and Analytics team, your role involves developing, implementing and reviewing solutions both within the Insurance service line and in collaboration with other services lines.

On engagements, you will

Be responsible for providing high-quality results and generating effective solutions, working along with Senior Consultants, Managers, Senior Managers and Engagement Partners in delivering the project.

Provide focused solutions and training to Staff/Senior members.

Be responsible for ensuring all engagements are delivered within the designated time.

Deliver engagements in line with EY values and commitment to quality and ensuring that work is of high standards.

Set and oversee team priorities, drive communication of project progress and risks, and monitor margins to ensure efficient resource utilization and delivery performance.

Collaborate effectively with client teams, data scientists, business users, and other EY professionals.

Within the actuarial and analytics practice you will

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 (FWA) detection models and analytical frameworks.

Support validation of AI/ML models used in healthcare decision-making.

Review analysis performed on large healthcare datasets to identify trends, anomalies, and model performance issues.

Perform ad hoc analytical projects and research activities.

Stay informed of current developments in healthcare analytics, predictive modeling, AI/ML, and model governance.

Stay informed of current business/economic developments relevant to the industry/geography.

We are looking for individuals who have a proactive attitude and are seeking the opportunity for personal and professional growth, leveraging and supporting our global network.

Skills and attributes for success

Skills and attributes for a successful career at EY require analytical rigor, intellectual curiosity, strong problem-solving abilities, the ability to communicate complex findings clearly to technical and non-technical audiences, having a learning mindset and passion to add value to GDS, member firms and client organizations. Bright and enthusiastic individuals who give their all to each assignment they work on will find themselves at home within our energetic GDS Actuarial and Analytics team.

We are looking for professionals who

Demonstrate strong attention to detail and analytical thinking.

Excellent leadership skills to manage the engagement and ensure smooth delivery.

Can independently investigate and challenge model assumptions.

Have excellent written and verbal communication skills.

Thrive in collaborative and client-facing environments.

Are passionate about continuous learning and innovation.

Can manage multiple priorities while maintaining high-quality standards.

To qualify for the role, you must have

7+ years of experience in healthcare analytics, predictive modelling, model validation, actuarial analytics, risk analytics, data science, or related quantitative fields.

Bachelor's or Master's degree in St

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