About FWD Group

FWD Group (1828.HK) is a pan-Asian life and health insurance business that serves approximately 40 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the main board of the Hong Kong Stock Exchange under the stock code 1828.

For more information, please visit www.fwd.com

About FWD Life Philippines 

FWD Life Insurance Corporation (FWD Life Philippines) launched its commercial operations in September 2014. As of end-2022, FWD Life Philippines ranks 3rd and 6th in terms of Paid-up Capital(1) and New Business Annual Premium Equivalent(2), respectively.

For more information, please visit fwd.com.ph. 

1 www.insurance.gov.ph > Statistics > Life > 2022 > Based on Paid-Up Capital

2 www.insurance.gov.ph > Statistics > Life > 2022 > Based on New Business Annual Premium Equivalent

The position will support the identification and deployment of analytics use cases impacting the business. He/She will work with first party and third-party data to design, develop and implement predictive models and analytics solutions enabling FWD’s processes and decision making. He/She will support Persistency Analytics pillar and can be extended to cover Distribution Analytics focusing on augmenting agency recruitment activities. He/She will also support the creation of Generative AI products to support various areas of the business.

Key Responsibilities:

1. Collaborate with various business units such as Marketing, CX, Distribution & Operations to identify analytical use cases relevant to the business

2. Design and implement analytics solution which may include data preparation, feature selection/engineering, model development and implementation, deployment, and performance tracking.

3. Translate the result to actionable insights and present the same to stakeholders

4. Create proper documentations detailing the model development tasks and results.

5. Quantify impact of the analytics solution deployed.

Education & Certification:

• Candidate must possess at least a Bachelor's/College Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or any related field
• AWS/ Azure/Microsoft Certification is an advantage but not required.

Experience:

• 3-5 year’s experience in the field of Data Analytics
• Experience in end-to-end ML/AI model development lifecycle
• Exposure to LLMs or NLP techniques
• Proficiency in SQL, Python/R, ML libraries, Power BI, Microsoft services/tools
• Experience working in an AWS/Azure Cloud environment
• Solid understanding of data structures, algorithms and basic deep learning concepts
• Experience in documenting requirements, model builds and data lineage
• Ability to prepare results and communicate effectively at all levels
• Must be willing to learn new technologies

Privacy Notice

Your privacy is a priority for FWD.  The Company keeps your personal information with us in confidence. To know more about how we process your information, kindly refer to our FWD Recruitment Privacy Notice.

FWD has partnered with Talocity Instasolutions Private Limited (“Talocity”) to manage the initial filtering of candidate’s profiles through video interviews, social profile mapping, and video analytics using artificial intelligence engine that is offered within the Talocity platform.  The platform evaluates the candidate on the five well-known dimensions as per OCEAN Personality Model that influence occupational success and help understand workplace behavior. For more information, please refer to Talocity Privacy Policy.

When you apply, FWD will share your name, phone number and email address to Talocity to contact you and conduct the initial screening and profiling process.  Shortlisted candidates will then be contacted by FWD for the face-to-face interview.