Actuarial Group Manager Gurgaon

Job Summary

We are seeking a highly skilled Financial Data Analyst with strong experience in Life & Annuity actuarial functions. The ideal candidate will bring deep expertise in financial data analytics asset modeling and programming (Python) along with a solid understanding of insurance and investment principles. This role will support actuarial modeling financial reporting and strategic decision-making through data-driven insights.

Key Responsibilities

Analyze large and complex financial datasets related to life and annuity products to support actuarial valuations and reporting.

Develop maintain and optimize data pipelines and analytical models using Python.

Perform asset modeling and support Asset-Liability Management (ALM) processes.

Collaborate with actuarial finance and investment teams to deliver actionable insights.

Support financial forecasting valuation and risk analysis for insurance portfolios.

Automate reporting processes and improve efficiency in data handling and analysis.

Ensure data quality integrity and compliance with regulatory and internal standards.

Assist in the development and validation of actuarial and financial models.

Interpret and communicate analytical results to stakeholders in a clear and concise manner.

Required Qualifications & Experience

Bachelors or masters degree in actuarial science Finance Statistics Mathematics or a related field.

7 years of experience in financial data analytics preferably within life insurance or annuity domains.

Strong hands-on expertise in Python (Pandas NumPy data visualization libraries).

Proven experience in financial data analysis and reporting.

Experience with asset modeling and/or Asset-Liability Management (ALM).

Solid understanding of actuarial concepts in life and annuity products.

Preferred Skills

Knowledge of insurance investment strategies and financial instruments.

Experience working with actuarial modeling tools (e.g. Prophet AXIS MG-ALFA or similar).

Familiarity with regulatory frameworks (e.g. IFRS 17 Solvency II US GAAP).

Strong SQL and database management skills.

Experience with data visualization tools (e.g. Power BI Tableau).

Actuarial exams progress or certification (preferred but not mandatory).

Key Competencies

Strong analytical and problem-solving skills.

Attention to detail and data accuracy.

Effective communication and stakeholder management.

Ability to work collaboratively in cross-functional teams.

Proactive mindset with a focus on continuous improvement.

Qualifications :

Bachelors or Masters degree in Actuarial Science Finance Statistics Mathematics or a related field. 7 years of experience in financial data analytics preferably within life insurance or annuity domains. Strong hands-on expertise in Python (Pandas NumPy data visualization libraries).

Remote Work :

No

Employment Type :

Full-time