We are a high-growth, profitable B2B SaaS company transforming the financial advisory and insurance ecosystem through innovative technology. Our platform combines modern microservices architecture, low-code/no-code capabilities, advanced analytics, and behavioral science to help financial institutions deliver better outcomes for their customers.

Operating across Asia and the Middle East, we partner with insurers, financial advisory firms, and financial institutions to accelerate digital transformation, streamline business processes, and improve financial wellness outcomes. Innovation, collaboration, and excellence are at the core of everything we do.

Our Culture

We believe exceptional results come from exceptional people. We value accountability, integrity, innovation, and continuous learning. Team members are empowered to take ownership, challenge conventional thinking, and contribute meaningfully to the evolution of our products and services.

This is an environment for high performers who enjoy solving complex problems, working across disciplines, and making a tangible impact in a fast-growing technology business.

The Opportunity

We are seeking a highly analytical and commercially minded Senior Actuarial Analyst to join our expanding actuarial function.

This unique role sits at the intersection of actuarial science, data analytics, and business analysis, offering exposure to product development, actuarial modelling, financial analysis, technology implementation, and client engagement.

Reporting directly to the Head of Actuarial, you will support a wide range of initiatives including pricing, reserving, actuarial modelling, financial reporting, regulatory analysis, and the integration of actuarial intelligence into digital platforms. Beyond technical actuarial work, you will collaborate closely with product, engineering, and client-facing teams to translate complex actuarial concepts into practical business solutions.

This position is ideal for an actuarial professional who enjoys combining strong technical expertise with stakeholder engagement and problem-solving in a technology-driven environment.

Key Responsibilities
Actuarial Modelling & Analysis
Support the development, enhancement, and maintenance of actuarial models for life, health, and investment-linked insurance products across regional markets.
Conduct experience studies and assumption reviews covering mortality, morbidity, persistency, claims, and expense analyses.
Support pricing exercises, including rate development, premium calculations, product profitability assessments, and benefit illustration modelling.
Assist with reserve calculations, liability valuations, and actuarial reporting under IFRS 17, Risk-Based Capital (RBC), and other applicable frameworks.
Develop, validate, and document actuarial models using Python or R, promoting scalable and automated modelling practices.
Contribute to actuarial opinions, technical reports, regulatory submissions, and client deliverables.
Business Analysis & Solution Design
Gather, analyse, and document business and actuarial requirements for product enhancements and client solutions.
Translate business requirements into functional specifications, user stories, and acceptance criteria.
Perform workflow reviews and gap analyses to identify process improvement opportunities.
Collaborate with product managers, developers, and delivery teams throughout project lifecycles.
Support agile delivery processes including sprint planning, backlog refinement, testing, and issue resolution.
Maintain clear documentation of assumptions, business rules, model logic, and operational processes.
Data Analytics & Reporting
Build analytical models, dashboards, and reporting tools using Python, R, and Excel.
Analyse key insurance and actuarial performance metrics, including claims experience, lapse rates, profitability, and pricing adequacy.
Perform data extraction, cleansing, validation, and analysis from multiple data sources.
Execute testing and validation of actuarial and financial calculation engines, including API-based testing.
Prepare clear management reports and presentations that communicate complex insights to both technical and non-technical stakeholders.
Stakeholder & Client Engagement
Participate in client meetings, workshops, product reviews, and solution discussions.
Explain actuarial assumptions, methodologies, and outcomes in a clear and business-friendly manner.
Provide actuarial support to internal stakeholders across sales, product, technology, and client success functions.
Contribute to the development of financial planning, product recommendation, and benefit illustration solutions.
Innovation & Continuous Improvement
Identify opportunities to improve, automate, and streamline actuarial processes and reporting.
Support the adoption of advanced analytics, AI, and machine learning capabilities within actuarial workflows.
Contribute to actuarial governance, documentation standards, and knowledge management initiatives.
Stay informed on regulatory developments, actuarial best practices, industry trends, and emerging technologies.
Requirements

Education & Professional Qualifications
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Quantitative Finance, or a related discipline.
Progressing towards or holding a recognised actuarial qualification (ASA, FSA, AIA, FIA, or equivalent).

Experience
5-8 years of relevant actuarial experience gained within insurance, consulting, reinsurance, InsurTech, or financial services environments.
Experience in life, health, and/or investment-linked insurance products.
Exposure to actuarial pricing, reserving, product development, or financial reporting.
Familiarity with IFRS 17 and Risk-Based Capital frameworks is advantageous.

Technical Skills
Strong capabilities in actuarial modelling, data analysis, and quantitative problem-solving.
Proficiency in Python and/or R for analytical modelling and automation.
Advanced Excel skills including financial modelling, dashboards, pivot tables, and scenario analysis.
Experience working with APIs, data validation, and testing tools such as Postman.
Understanding of Agile delivery methodologies and tools such as JIRA.

Personal Attributes
Strong analytical mindset with exceptional attention to detail.
Ability to simplify complex technical concepts for diverse audiences.
Effective stakeholder management and communication skills.
Commercially aware with a passion for solving business problems through data and analytics.
Self-motivated, adaptable, and able to manage multiple priorities in a fast-paced environment.
Collaborative team player comfortable working across multicultural and cross-functional teams.

What's on Offer
Opportunity to work in a fast-growing and innovative technology company.
Exposure to actuarial, product, technology, and client-facing initiatives.
Regional project exposure across multiple markets.
High level of visibility and direct interaction with senior leadership.
Collaborative and entrepreneurial work environment with strong opportunities for professional growth and development.