Actuarial Consultant 4+ Years – Gururgam

Are you an experienced actuarial professional with strong expertise in Property & Casualty (P&C;) pricing, ratemaking, data analytics and actuarial modeling? We are looking for a skilled professional to develop scalable pricing analytics frameworks, build actuarial data infrastructure and drive data-driven business decisions.

Location – Gururgam (Hybrid)

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, 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.
- Develop automated workflows for data ingestion, preparation and model deployment.
- Collaborate with data engineering teams to implement scalable solutions on cloud-based analytics platforms.
- Conduct independent research, analyze large datasets and present actionable insights and recommendations to senior leadership.

• Support analytics modernization through automation, improved data infrastructure and advanced analytical techniques.

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.
- Advanced proficiency in Excel, VBA, SAS, SQL, R, Python or other relevant analytical tools.
- Familiarity with cloud data ecosystems such as Snowflake, Databricks or AWS analytics tools.
- Experience in data analysis, actuarial modeling, pricing analytics and data pipeline development.
- 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 setting.

What is in it for you

- Opportunity to work on advanced actuarial pricing and analytics solutions.
- Exposure to global insurance portfolios, modern data infrastructure and cloud-based analytics platforms.
- Opportunity to collaborate 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.

Reach Us – If you think this role aligns with your career, kindly write me an email along with your updated CV at [email protected] for a confidential discussion on the role. Disclaimer – Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable job search and leadership hiring experience.

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.

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Keywords – Actuarial Consultant, Actuarial Science, Property & Casualty, P&C; Insurance, P&C; Pricing, Ratemaking, Pricing Analytics, Actuarial Modeling, Regulatory Filings, General Insurance, Pricing Data Mart, DataMart Development, ETL Pipelines, Data Engineering, Data Governance, Insurance Analytics, Excel, VBA, SAS, SQL, R, Python, Snowflake, Databricks, AWS, IAI, IFoA, CAS, SOA, Risk Management, Data Analysis.

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