Analytical Manager

2 days ago

Navi Mumbai, Maharashtra, India SBI General Insurance Full time ₹ 1,20,000 - ₹ 3,00,000 per year

Key Responsibilities -

Model Development & Analytics

Build predictive and machine learning models for risk assessment, cross-sell/upsell, customer retention, and claims forecasting.

Design and implement fraud detection algorithms and anomaly detection frameworks.

Support pricing and reserving teams with statistical models and simulations.

Data Management & Exploration

Clean, process, and analyse structured/unstructured insurance data (policy, claims, customer, telematics, digital).

Perform exploratory data analysis (EDA) to identify patterns, trends, and actionable insights.

Business Problem Solving

Partner with Underwriting, Claims, and Distribution teams to translate business challenges into analytical problems.

Provide insights on loss ratios, claim frequency/severity, and customer behaviour.

Reporting & Visualization

Create dashboards and visualizations (Power BI/Tableau) for key business metrics (loss ratios, premium trends, fraud triggers, claim settlement times).

Present findings and recommendations to stakeholders in a clear, actionable manner.

Required Skills -

Strong knowledge of statistical modeling, machine learning, and predictive analytics.

Proficiency in Python / R / SAS for data analysis and modeling.

Hands-on experience with SQL and large datasets.

Experience with data visualization tools (Power BI, Tableau, Qlik).

Good understanding of general insurance concepts (pricing, underwriting, claims, fraud, loss ratio).

Strong communication skills to explain technical results to business users.

Preferred Qualifications -

Bachelors/Masters in Statistics, Mathematics, Data Science, Actuarial Science, or related field.

Exposure to NLP, computer vision, or telematics data in insurance.

Knowledge of cloud platforms (AWS, Azure, GCP) for model deployment.

Key Metrics for Success -

Improvement in loss ratio and fraud detection rate.

Accuracy and adoption of predictive models by business teams.

Value generated through cross-sell/upsell models.

Timely and effective delivery of analytical insights.

Interested candidates share resume

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