Data Modeling Speacialist

Kotak Life; Mumbai; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Kotak Life in Mumbai invites an experienced Data Modelling Specialist - Underwriting to join the Data Science team at the corporate office in Goregaon East. The role centers on building, validating, and maintaining predictive models that guide underwriting decisions and improve risk assessment across the portfolio.

As Chief Manager in Data Science, you will lead model development, validation, and governance, collaborating with underwriting, actuarial, data engineering, technology, claims, and

Qualifications

• Experience designing and validating underwriting risk models.
• Proficiency with predictive modeling using internal and external data.
• Ability to collaborate across underwriting, actuarial, data engineering, technology, claims and risk teams.

Responsibilities

• Design, develop and validate underwriting risk models using internal and external data sources
• Build predictive models for mortality, morbidity, fraud detection, early claims indicators, and customer risk segmentation
• Analyze underwriting portfolio trends and identify emerging risk patterns to support underwriting policy decisions
• Develop scorecards and risk-based underwriting frameworks to improve decision consistency and turnaround time
• Partner with Underwriting, Actuarial, Data Engineering, Technology, Claims, and Risk teams for model deployment and monitoring
• Monitor model performance, calibration, and governance requirements, including periodic validations and documentation
• Support automation and AI/ML initiatives for digital underwriting and straight-through-processing (STP) enhancement

Skills

Data modelling

Underwriting knowledge

Statistical modelling

Machine learning

Stakeholder collaboration

Job description

Job Description:

Position: Data Modelling Specialist - Underwriting

Designation: Chief Manager

Department: Data Science

Reporting To: Vice President

Work Location: Corporate Office, Goregaon East, Mumbai

Objective of the Role

To develop, maintain, and enhance predictive data models that support underwriting decisions, improve risk assessment accuracy, automate underwriting processes, and strengthen portfolio quality. The role will leverage statistical modeling, machine learning, and advanced analytics to enable data-driven underwriting and risk management within the life insurance business.

Responsibility

• Design, develop and validate underwriting risk models using internal and external data sources
• Build predictive models for mortality, morbidity, fraud detection, early claims indicators, and customer risk segmentation
• Analyze underwriting portfolio trends and identify emerging risk patterns to support underwriting policy decisions
• Develop scorecards and risk-based underwriting frameworks to improve decision consistency and turnaround time
• Partner with Underwriting, Actuarial, Data Engineering, Technology, Claims, and Risk teams for model deployment and monitoring
• Monitor model performance, calibration, and governance requirements, including periodic validations and documentation
• Support automation and AI/ML initiatives for digital underwriting and straight-through-processing (STP) enhancement