Actuarial Consultant - Pricing And GLM Modeling - 4+ Year - Bengaluru

Crescendo Global Leadership Hiring India; Gurugram District, Bengaluru, Delhi; On-site; INR 1,600,000 - 2,600,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking an Actuarial Consultant for Pricing and GLM Modeling in Bengaluru or Gurugram. The role focuses on advanced pricing models for P&C, data infrastructure, and cloud-based analytics to support global clients.

Responsibilities include building GLM-based pricing, validating models, and developing scalable data pipelines with Emblem, Radar, Python, R, SQL, and cloud platforms.

Qualifications

• 4–6 years of experience in P&C ratemaking, pricing or regulatory filings.
• Affiliation with IAI, IFoA, CAS or SOA, with 8+ actuarial exams completed.
• Strong knowledge of General Insurance, P&C actuarial concepts, insurance regulations and filing requirements.
• Experience in predictive modeling, actuarial pricing, risk segmentation and statistical analysis.
• Knowledge of GLMs, credibility methods and machine learning techniques such as Decision Trees and Random Forest.

Responsibilities

• Design and implement advanced predictive pricing models using GLMs, machine learning techniques and credibility methods.
• Identify risk segmentation opportunities and develop rating variables to improve pricing accuracy.
• Perform model validation, monitoring, recalibration and performance analysis.
• Build scalable analytics pipelines using Python, R, SQL and cloud-based data platforms.
• Develop automated workflows for data ingestion, preparation and model deployment.
• Design, build and maintain actuarial DataMarts covering policy, claims, exposure and reinsurance datasets.

Skills

P&C pricing

Ratemaking

Regulatory filings

GLMs

Credibility methods

Education

Bachelor's or Master's in Engineering/ Economics/ Mathematics/ Actuarial Science/ Statistics

Tools

Excel

VBA

SAS

SQL

R

Python

Emblem

Radar

Job description

Actuarial Consultant Pricing And GLM Modeling – 4+ Years – Bengaluru / Gurugram

Are you an experienced actuarial professional with strong expertise in Property & Casualty (P&C) pricing, ratemaking, predictive modeling and actuarial analytics? We are looking for a skilled professional to develop advanced pricing models, build scalable actuarial data infrastructure and leverage modern data science techniques to drive profitable business decisions.

Location

Bengaluru / Gurugram

Your Future Employer

A leading analytics and consulting organization offering opportunities to work on advanced actuarial solutions, insurance pricing, risk management and data-driven decision-making for global clients.

Responsibilities

• Design and implement advanced predictive pricing models using Generalized Linear Models (GLMs), machine learning techniques and credibility methods.
• Identify risk segmentation opportunities and develop rating variables to improve pricing accuracy.
• Perform model validation, monitoring, recalibration and performance analysis.
• Build scalable analytics pipelines using tools such as Emblem, Radar, Python, R, SQL and cloud-based data platforms.
• Develop automated workflows for data ingestion, preparation and model deployment.
• Design, build and maintain actuarial DataMarts covering policy, claims, exposure and reinsurance datasets.
• Develop and optimize ETL pipelines to integrate data from multiple source systems.
• Support the development of a centralized Pricing Data Mart (PDM) for scalable pricing analytics.
• Define actuarial data structures, feature libraries and datasets for pricing and modeling analyses.
• Ensure data governance, documentation, accuracy and reproducibility of actuarial datasets.
• Collaborate with data engineering teams to implement scalable solutions on cloud-based analytics platforms.
• Communicate model results, analytical insights and recommendations to senior leadership.

Requirements

• 4–6 years of experience in Property & Casualty (P&C) ratemaking, pricing or regulatory filings.
• Bachelor's or Master's degree in Engineering, Economics, Mathematics, Actuarial Science, Statistics or a related field.
• Affiliation with IAI, IFoA, CAS or SOA, with 8+ actuarial exams completed.
• Strong understanding of General Insurance, P&C actuarial concepts, insurance regulations and filing requirements.
• Experience in predictive modeling, actuarial pricing, risk segmentation and statistical analysis.
• Knowledge of GLMs, credibility methods and machine learning techniques such as Decision Trees and Random Forest.
• Advanced proficiency in Excel, VBA, SAS, SQL, R, Python or other relevant analytical tools.
• Familiarity with actuarial pricing tools such as Emblem and Radar.
• Exposure to cloud data ecosystems such as Snowflake, Databricks or AWS analytics tools.
• Experience in data analysis, ETL pipelines, data preparation and actuarial data infrastructure.
• Strong analytical, problem-solving and communication skills, with the ability to explain complex actuarial concepts to technical and non-technical stakeholders.
• Ability to work independently and collaboratively while managing priorities and deadlines in a fast-paced environment.

What is in it for you?

• Opportunity to work on advanced actuarial pricing, predictive modeling and analytics solutions.
• Exposure to global insurance portfolios, modern data infrastructure and cloud-based analytics platforms.
• Opportunity to integrate actuarial expertise with machine learning and AI-driven pricing techniques.
• Collaboration with experienced actuarial and analytics professionals.
• Access to continuous learning, mentoring and professional development opportunities.
• Strong career growth prospects in actuarial consulting, pricing analytics and insurance data science.

Disclaimer

Crescendo Global does not discriminate based on race, religion, colour, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note

We receive many applications daily, so it becomes difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted if you do not hear back from us within one week. Your patience is highly appreciated.