Manager, Data Science, Asia | Singapore, SG

Job Title
Manager, Data Science, Asia

Job Description

The Role

Given that the Innovation Lab will act as a 'co-hub' for Strategic Analytics divisionally, the role will help to undertake the collection, validation, and analysis of Pacific Life Re's unique insurance data sources across offices globally, and work with the existing Strategic Analytics personnel based in London and Australia. The role will be responsible for delivering projects for APAC and the global markets Pacific Life Re operate in, developing innovative insurance solutions utilising insights derived from predictive analytics.

The role will work closely with a variety of teams within Pacific Life Re and our subsidiary insurtech company UnderwriteMe, including R&D, Pricing, Underwriting, and Sales & Marketing. Given the nature of the role, engagement with third parties (e.g. academic institutions, clients, industry groups) will also be necessary to build partnerships and explore new sources of data and opportunities to innovate.

Duties

• Work on and lead targeted predictive analytics and projects for Pacific Life Re and UnderwriteMe clients - collaborating with clients and internal stakeholders on projects or research with innovative data utilisation and predictive modelling aspects.
• Support the integration of data science techniques and insights derived from projects into broader R&D, including projects that link to developing cutting edge Terms of Trade and capital risk assumptions.
• Support product development efforts related to the above.
• Work with third parties and clients to identify and integrate new data sources which could improve risk and product propositions.
• Actively participate in research-related initiatives, sharing expertise at industry and PLRe events, and to lead analytics projects in conjunction with direct insurance companies and other partners.
• Help to upskill other APAC teams by conducting training and knowledge sharing related to predictive analytics and data science.

Qualifications & Experience

• Bachelor degrees in statistics, computer science, mathematics, Actuarial Science, or related disciplines.
• Strong mathematical background and experience relevant to developing statistical and machine learning models, including the associated data preparations and data visualisations.
• Strong knowledge and experience in associated relevant tools (Python/R, SQL, Tableau, etc).
• Minimum 7 years' experience working in life insurance in either a similar role or in an R&D, pricing, or experience analysis capacity.
• Previous experience conducting analytics projects within the broader insurance and reinsurance market.
• Working knowledge of the products and markets Pacific Life Re operates in - including product terms, pricing approaches, underwriting, and distribution.
• Experience with AWS or other cloud-based infrastructure & tools.
• Sufficient data engineering and computer science knowledge to manage data science projects end-to-end and help provide steer for related data management and IT infrastructure.
• Ability to work independently and in collaboration with a wide variety of stakeholders with differing technical backgrounds.
• Strong communication and presentation skills, particularly in explaining complex issues in clear terms.
• Good organisational and project management skills, and the ability to manage multiple projects and various stakeholders simultaneously.
• Strong mentoring skills to develop and train junior members of the team.
• Enthusiastic, with a keen drive and focus.

Working For Pacific Life Re

Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.

Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.

Benefits

• Group Life Insurance and Medical
• Flexible Benefits
• Buy & Sell Leave
• Employee Assistance Program (EAP)
• Telco Staff Discount

As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.