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.