Senior Actuarial Analyst

RESPONSIBILITIES

Actuarial Analysis & Modelling

• Support the Head of Actuarial in the analysis, development, and maintenance of actuarial models for life, health, and investment-linked insurance products across APAC markets.

• Conduct experience studies and assumption reviews including mortality, morbidity, persistency, and expense analyses and summarise findings for internal and client stakeholders.

• Assist in product pricing exercises building and validating rate tables, benefit illustrations, and premium calculations for new and existing product lines.

• Prepare and review actuarial reserve calculations and liability valuations in support of IFRS 17, RBC, and other applicable regulatory frameworks.

• Build, test, and document actuarial models in Python or R,progressively moving away from spreadsheet-heavy approaches toward scalable, code-based workflows.

• Support the preparation of actuarial opinions, certification letters, and regulatory submissions in coordination with the Head of Actuarial.

Business Analysis &Requirements

• Collaborate with cross-functional teams, product, engineering, client delivery, and finance to gather, analyse, and document actuarial and business requirements for platform features and client solutions.

• Translate actuarial and business needs into clear functional specifications, user stories, and acceptance criteria that engineering and product teams can act on confidently.

• Conduct gap analyses between current actuarial workflows and desired future states, proposing data-driven process improvements and solution options.

• Support sprint planning, backlog grooming, and issue tracking in JIRA serving as the actuarial voice in agile delivery processes.

• Liaise with stakeholders across actuarial, finance, product, and technology to ensure alignment on requirements, timelines, and deliverables.

• Contribute to compliance and audit readiness throughwell-structured documentation of actuarial processes, data flows, and modelassumptions.

Data Analysis & Reporting

• Build and maintain advanced data models and financial analysis tools using Python, R, and Excel including dashboards, pivot analyses and scenario modelling for internal and client use.

• Monitor and analyse key actuarial and product performance metrics including claims experience, lapse rates, profitability indicators, and pricing adequacy generating insights to support strategic decision-making.

• Design and execute data validation and test cases using Postman and scripting tools to verify API outputs from 360F's actuarial and financial calculation engines.

• Extract, clean, and analyse insurance policy data from internal databases and client data feeds to support experience studies and adhoc analytical requests.

• Prepare clear, well-visualised actuarial reports and management summaries that communicate complex findings accessibly to non-actuarial stakeholders.

Client & Stakeholder Support

• Support the Head of Actuarial in client-facing engagements including workshops, product review sessions, and data analysis requests from insurance carrier and financial advisory clients.

• Assist clients in understanding actuarial outputs, model assumptions, and pricing rationale translating technical results into business-friendly language.

• Act as a point of contact for actuarial-related queries from internal teams including sales, client success, and product management.

• Contribute actuarial input to client needs analysis frameworks, benefit illustration tools, and financial wellness models embedded in 360F's platform.

Process Improvement &Innovation

• Identify opportunities to automate, streamline, or improve actuarial workflows from data ingestion and model execution to reporting and client delivery.

• Support the integration of AI and machine learning tools into actuarial processes including validation of ML-based pricing or claims models, and exploration of GenAI tools for actuarial report generation.

• Contribute to the development of 360F's internal actuarial knowledge base including model documentation, assumption registers, and process guides.

Stay current with actuarial developments relevant to APAC markets including IFRS 17 implementation updates, RBC changes, product innovation trends, and AI governance in insurance.

REQUIREMENTS

· Minimum 5 to 8years of relevant experience in actuarial, actuarial consulting, or closely related analytical role with clear exposure to life, health, or investment-linked insurance products.

· Pursuing or holding an actuarial designation (ASA, FSA, AIA, FIA, or equivalent) from a recognised professional body; candidates who are actively progressing through actuarial examinations are strongly encouraged to apply.

· Solid working knowledge of actuarial pricing, reserving, and product analysis across life, health, and/or investment-linked product lines in one or more APAC markets.

· Familiarity with IFRS 17 concepts and their practical implications for product design, liability measurement, and insurance financial reporting.

· Strong proficiency in Python or R for actuarial data analysis, model building, and automation with the ability and willingness to code models rather than rely solely on spreadsheets.

· Advanced Excel skills include complex formulas, pivot tables, scenario analysis, and dashboard design for actuarial and financial reporting.

· Experience with API testing and validation tools, particularly Postman, to support integration testing of actuarial and financial calculation services.

· Demonstrated business analysis capabilities including requirements gathering, user story writing, gap analysis, and agile delivery support using JIRA or equivalen tools.

· Strong analytical mindset with exceptional attention to detail, and the confidence to challenge assumptions and question data quality.

· Excellent written and verbal communication skills in English, able to produce clear, structured documentation and present findings to both technical and non-technical audiences.

· Comfortable working independently, managing multiple workstreams with minimal supervision while maintaining high standards of quality and responsiveness.

· Ability to work effectively in a multicultural, cross-functional team environment spanning multiple APAC markets.

· Bachelor's degree or above in Actuarial Science, Mathematics, Statistics, Quantitative Finance, or a related field.