Senior Analyst Actuarials (Python Developer)

1.3. Key Responsibilities

Tool Development: Design develop test and maintain actuarial tools and models using various programming languages (e.g. Python VBA R SQL) to automate processes enhance data analysis and improve reporting capabilities.

Process Transformation: Identify opportunities for process improvement and automation within actuarial functions collaborating with actuarial teams to implement innovative solutions.

Data Management: Work with large datasets ensuring data integrity efficient processing and effective visualization for actuarial insights

. Technical Support: Provide technical support and troubleshooting for existing actuarial tools and applications ensuring their smooth operation.

Collaboration: Work closely with actuarial teams IT and other stakeholders to gather requirements provide technical guidance and ensure successful project delivery.

Documentation: Create and maintain comprehensive technical documentation for developed tools and processes.

Continuous Improvement: Stay abreast of emerging technologies and best practices in coding data science and actuarial science to drive continuous improvement.1.4. Required Skills & Experience

Experience: 3-4 years of professional experience in software development programming or data analysis roles with a strong focus on coding and tool development

. Programming Proficiency: Demonstrated expertise in at least two of the following programming languages: Python VBA R SQL.

Problem-Solving: Strong analytical and problem-solving skills with the ability to translate complex actuarial concepts into technical solutions.

Communication: Excellent verbal and written communication skills with the ability to articulate technical concepts to non-technical stakeholders.

Education: Bachelors or Masters degree in Computer Science Engineering Mathematics Actuarial Science or a related quantitative field

.1.5. Desired Skills

Insurance Domain Knowledge: Prior experience or strong understanding of the insurance industry including life general or health insurance products and actuarial concepts.

Actuarial Qualifications: Progress towards actuarial qualifications (e.g. IFoA SOA IAI) is an advantage but not mandatory.

Data Visualization Tools: Experience with data visualization tools (e.g. Power BI Tableau) is a plus.

Cloud Platforms: Familiarity with cloud platforms (e.g. AWS Azure GCP) and their services.1.6. Work Location & Model

Locations: Gurgaon Chennai or Pune Work Model: Hybrid (a blend of in-office and remote work promoting flexibility and collaboration)

Qualifications :

Graduate

Remote Work :

Yes

Employment Type :

Full-time