Actuary Pricing Analyst

Job Level:  Professional
Location: 

Jakarta, ID, 12980

Area of Expertise:  Actuarial
Unit:  Allianz Indonesia
Employing Entity:  PT. Asuransi Allianz Life Indonesia
Job Type:  Full-Time
Remote Job:  Hybrid working
Employment Type:  Permanent
ID:  99240
Position Cluster:  Non-Executive

Job Summary

We are seeking a motivated and detail-oriented Pricing Actuary Analyst to support product pricing and development activities. This role will work closely with cross-functional teams to design competitive insurance products, conduct pricing analyses, and ensure regulatory compliance.

Key Responsibilities

  • Collaborate with Market Management and Product Development teams to finalize product design and specifications in line with client needs and market demand.
  • Perform pricing analysis and profit testing for new insurance products.
  • Prepare, manage, and present pricing reports to internal stakeholders, regional offices, and regulators to facilitate product review and approval.
  • Build and maintain strong relationships with internal stakeholders including Market Management, Distribution teams, and external business partners.
  • Participate in cross-functional discussions on product design, profit testing, and implementation.
  • Prepare policy contracts and actuarial documentation to support internal processes and statutory filings.
  • Support the development and maintenance of sales illustration systems.
  • Analyze product performance and proactively identify and anticipate potential product risks.

Requirements

  • Fresh graduate or candidate with up to 4 years of relevant experience in actuarial or insurance functions.
  • Degree in Actuarial Science, Mathematics, Statistics, Data Science, or related field.
  • Strong technical knowledge of insurance products and pricing principles.
  • Good analytical and problem-solving skills, with the ability to assess and anticipate product risks.
  • Effective communication and stakeholder management skills.
  • Ability to work collaboratively across teams and manage multiple priorities.
  • Basic people management or leadership potential is an advantage.
  • Progress toward professional actuarial qualification (e.g., SOA, IFoA, or equivalent) is a plus.
  • Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their application in insurance pricing or risk assessment.

99240 | Actuarial | Professional | Non-Executive | Allianz Indonesia | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.

Note: Having different strengths, experiences, perspectives and approaches is an integral part of Allianz‘ company culture. One means to achieve this is a regular rotation of Allianz employees across functions, Allianz entities and geographies. Therefore, Allianz expects from its employees a general openness and a high motivation to regularly change positions and collect experiences across Allianz Group.