Manager, Data Science, Asia

HKG - Hong Kong - Oxford House

QBE Insurance

QBE Insurance Group is one of the world's top 20 insurance and reinsurance companies, located in 27 countries. Visit us for company information.

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Primary DetailsTime Type: Full time

Worker Type: Employee

The purpose of this role is to lead a team of modelling and data science partners, ensuring the scientific integrity of work products in assigned business areas. This involves providing technical expertise on study design, research methodology, and statistical approaches while driving the adoption of scientific principles to enhance business processes and decisions. Additionally, the role involves taking ownership of technical delivery for complex projects, collaborating with peers, and communicating results and recommendations to business stakeholders in actionable timeframes.

The opportunity:

  • Lead the development of analytical use cases with internal business customers in alignment with Analytics leads and partners.
  • Drive modernisation of analytical techniques within the organisation.
  • Identify new high-value problems and prototype solutions that demonstrate tangible business value.
  • Translate between business and analytical problems.
  • Source, integrate, explore and examine data from multiple sources; discover, analyse and summarise relationships, trends and insights; derive, validate and interpret models and the results of data experiments; and connect these analytic results to business decisions and actions.

Your new role:

  • Establish and maintain a good working relationship within the team.
  • Foster an inclusive environment that supports knowledge sharing and diverse ideas.
  • Ensure compliance with policies, procedures, and relevant legislation.
  • Take ownership of career development of self and others.
  • Build relationships with business stakeholders and drive closer partnerships with offshore teams.

About you:

  • Significant data management experience within the financial services sector, preferably in general insurance.
  • Track record of implementing impactful models that drive sustained business results.
  • Experience in Big Data Technology including Hadoop, NoSQL DB, Spark, and Parquet.
  • Ability to derive meaningful insights from large structured and unstructured datasets.
  • Proficiency in analytics using tools like R, Python, and Spark.
  • Collaborative experience in programming projects and project architecture management.
  • Familiarity with working in a Linux environment.
  • Skill in presenting complex analytics solutions to diverse audiences.
  • Proven track record of delivering successful projects in an agile work setting.
  • Tertiary Degree or equivalent combination of education and work experience

About QBE

What if you could have a positive impact – at work and in the world?

At QBE, we’re enabling a more resilient future – for our customers, communities, environment, and for our people. We’re building momentum to achieve something significant and know our people are at the centre of our success.

Our industry offers interesting and varied careers where you can help people to protect what matters most. As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind. And with more than 13,000 people working across 27 countries, our scale means we’re big enough for your ambitions, yet small enough for you to make a real impact.

QBE Asia’s operations is part of the QBE International Division, and has had a presence in Asia for more than 130 years with offices in: Singapore, Hong Kong & Macau, Malaysia and Vietnam. We continue to be recognised for our ongoing focus on digital innovation to deliver exceptional value and operational excellence for our customers, business partners, people and the community. We support ESG efforts through the QBE Foundation, which helps to create strong, resilient and inclusive communities, by focusing investment and efforts on two key areas where we believe we can have the greatest impact – climate resilience and inclusion.

Benefits

Excited to share our comprehensive benefits package at QBE! 🌟

🌟 Flex and hybrid working options

🏡 Work from home policy

👨‍👩‍👧 Paternity leaves matching with maternity leave

🧘‍♀️ Well-being programs

💰 Pensions

🩺 Medical benefits

🌍 Globally, access to online learning via LinkedIn Learning

👪 On top of annual leaves, 3 additional days off (Family care leaves)

📚 Study leave

💍 Marriage leave

🎁 Internal Appreciation program with points to redeem nice merchandize and life experiences

Join us and enjoy a work environment that values your well-being and personal growth! 🌟 #EmployeeBenefits #WorkLifeBalance #CareerDevelopment

Join us now, so you can be part of our success – and we can be part of yours.

Your career at QBE — Let’s make it happen.

Global Disclaimer:

The duties listed in this job description do not limit the assignment of work. They are not to be construed as a complete list of the duties normally to be performed in the position or those occasionally assigned outside an employee’s normal duties. Our Group Code of Ethics and Conduct addresses the responsibilities we all have at QBE to our company, to each other and to our customers, suppliers, communities and governments. It provides clear guidance to help us to make good judgement calls.

Skills:

Communication, Critical Thinking, Data Science, Data Visualization, Financial Products, Innovation, Intentional collaboration, Machine Learning, Managing performance, Mentorship, Research Analysis, Risk Management, Stakeholder Management, Team Management, Thought Leadership

How to Apply:

To submit your application, click "Apply" and follow the step by step process.

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Agile Architecture Big Data Data management Data visualization Hadoop Linux Machine Learning NoSQL Parquet Python R Research Spark Statistics

Perks/benefits: Career development Equity / stock options Medical leave Parental leave Startup environment

Regions: Asia/Pacific Europe