Senior Actuarial Analyst

SNAPFIND TALENT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

SNAPFIND TALENT SOLUTIONS PTE. LTD. is seeking a skilled actuarial professional to support modelling, pricing, and regulatory work across APAC markets.

You will collaborate with product, engineering, and finance teams to translate complex actuarial insights into actionable business requirements. The role emphasizes moving from spreadsheet-heavy workflows to scalable, code-based models using Python or R, with IFRS 17 and RBC experience beneficial.

Qualifications

• 5–8 years of actuarial/analytical experience in life, health, or investment-linked insurance products.
• Pursuing or holding an actuarial designation (ASA, FSA, AIA, FIA, or equivalent).
• Strong proficiency in Python or R for data analysis and automation.
• Familiarity with IFRS 17 concepts.
• Advanced Excel skills including formulas, pivot tables, scenario analysis, and dashboard design.

Responsibilities

• Support Head of Actuarial in development and maintenance of actuarial models for APAC markets.
• Conduct experience studies and assumption reviews for mortality, morbidity, persistency, and expenses.
• Assist in product pricing via rate tables, illustrations, and premium calculations.
• Prepare reserve calculations and liability valuations for IFRS 17, RBC, and other frameworks.
• Build, test, and document models in Python or R; move toward code-based workflows.
• Support actuarial opinions, certification letters, and regulatory submissions.
• Collaborate with cross-functional teams to gather actuarial and business requirements for platform features.
• Translate requirements into functional specs, user stories, and acceptance criteria.
• Analyze data and monitor key metrics with dashboards and scenario modelling.
• Assist clients in understanding outputs and pricing rationale.

Skills

Python

R

Actuarial analysis

Excel

Data modelling

Stakeholder communication

Education

Bachelor's degree in Actuarial Science

Tools

Postman

JIRA

Job description

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, analyze, 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
• Conduct gap analyses between current actuarial workflows and desired future states

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 analyze key actuarial and product performance metrics including claims experience, lapse rates, profitability indicators, and pricing
• Design and execute data validation and test cases using Postman and scripting tools

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.

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.

REQUIREMENTS

• Minimum 5 to 8 years of relevant experience in actuarial, actuarial consulting, or closely related analytical role with clear exposure to life, health, or investment-linked insurance products.
• Bachelor's degree or above in Actuarial Science, Mathematics, Statistics, Quantitative Finance, or related field.
• Pursuing or holding an actuarial designation (ASA, FSA,AIA, FIA, or equivalent) from a recognized professional body
• 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
• Strong proficiency in Python or R for actuarial data analysis, model building, and automation
• Advanced Excel skills include complex formulas, pivot tables, scenario analysis, and dashboard design
• Experience with API testing and validation tools, particularly Postman, to support integration testing
• Demonstrated business analysis capabilities including requirements gathering, user story writing, gap analysis, and agile delivery support using JIRA or equivalent tools.