Manager - Personal Financial Services (Data Scientist)

Posted 5 Days Ago
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Tower, MI, USA
In-Office
Expert/Leader
Fintech • Payments • Financial Services
The Role
Leads the data strategy and a team of data scientists within personal financial services. Oversees data acquisition, integration, modeling, predictive analytics, automation, dashboards, and data solution quality. Partners with business stakeholders to deliver strategic insights, forecasts, and customer-focused recommendations. Presents complex findings to senior management and mentors team members in machine learning, AI, statistical modeling, and professional skills. Requires 8–10 years of data science experience, including at least three years in leadership.
Summary Generated by Built In

If you are looking to excel and make a difference, take a closer look at us…

This role focuses on enabling data-driven decision-making through the development and execution of robust data strategies. You will collaborate with cross-functional teams to acquire, integrate, and analyze diverse datasets to support core business objectives. This includes building scalable data solutions, leveraging emerging technologies, and applying advanced analytics to drive strategic recommendations and business value.

  • Strategic Leadership: Lead the development and execution of the department’s data strategy, covering the entire lifecycle from data acquisition to advanced modelling.
  • Operational Excellence: Manage the resources, timeline and quality of model development, ensuring all outputs align with core business objectives.
  • Innovation & Automation: Drive process improvements by leveraging new technologies to automate repetitive tasks and enhance team efficiency.
  • Advanced Analytics: Develop models for complex business scenarios and design interactive dashboards to communicate actionable insights to stakeholders.
  • Predictive Analytics: Move beyond descriptive reporting by leveraging AI/ML knowledge to forecast trends or customer churn.
  • Stakeholder Management: Partner with business units to understand market and customer needs, delivering tailored data solutions.
  • Executive Communication: Interpret complex modelling results and present strategic findings to senior management to guide high-level decision-making.
  • Mentorship: Lead and mentor a team of data scientists, fostering technical growth in machine learning, AI, statistical modelling and soft skills as well.
  • Team Growth: Responsible for growing a highly competent data scientist team.
  • Partner with stakeholders and cross-functional teams to acquire and apply the necessary knowledge for delivering a robust and high-quality data solution thus drive business strategy and decision making.
Education/Qualification
  • Degree in Actuarial Science, Statistics, or equivalent
  • Knowledge in SQL and scripting languages like Python or R for data manipulation, analysis, and modeling.
  • Knowledge in data visualization tools like Tableau, Power BI, or similar to create compelling reports and dashboards.
  • Knowledge in AI or machine learning is required.
  • Minimum 8-10 years in Data Science with 3+ years in leadership

About Hong Leong Bank

We are a leading financial institution in Malaysia backed by a century of entrepreneurial heritage. Providing comprehensive financial services guided by a Digital-at-the-Core ethos has earned us industry recognition and accolades for our innovative approach in making banking simpler and more effortless for our customers. Our digital and physical offerings span across a vast nationwide network in Malaysia, strengthened with an expanding regional presence in Singapore, Hong Kong, Vietnam, Cambodia, and China.

We seek to strike a balance between diversity, inclusion and merit to achieve our mission of infusing diversity in thinking and skillsets into our organisation. Candidates are assessed based on merit and potential, in line with our mission to attract and recruit the best talent available. Expanding on our “Digital at the Core” ethos, we are progressively digitising the employee journey and experience to provide a strong foundation for our people to drive life-long learning, achieve their career aspirations and grow talent from within our organisation.

Realise your full potential at Hong Leong Bank by applying now.

Skills Required

  • Degree in Actuarial Science, Statistics, or an equivalent field
  • Knowledge of SQL
  • Knowledge of Python or R for data manipulation, analysis, and modeling
  • Knowledge of Tableau, Power BI, or similar data visualization tools
  • Knowledge of artificial intelligence or machine learning
  • 8–10 years of experience in data science
  • At least 3 years of leadership experience
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The Company
HQ: Kuala Lumpur, Wilayah Persekutuan
6,612 Employees
Year Founded: 1905

What We Do

Hong Leong Bank Berhad is one of the leading financial services organisations in Malaysia. With a heritage of more than 100 years, it provides comprehensive financial services covering consumer banking, business banking and trade finance, treasury, branch and transaction banking, wealth management, private banking and Islamic financial services. Its merger with EON Bank Group in 2011 has further embedded its position as a core banking franchise with an expanded distribution network of more than 300 branches across the country. With a proven track record in value creation and a highly recognised brand, Hong Leong Bank has also been extending its footprint in the region, with branches in Singapore and Hong Kong and wholly owned subsidiaries in Vietnam and Cambodia. In China, the Bank has a 20% shareholding in Bank of Chengdu Co., Ltd., Sichuan and a consumer finance joint venture. Hong Leong Bank is a subsidiary of Hong Leong Financial Group Berhad, the financial services arm of the Hong Leong Group. Apart from banking, Hong Leong Financial Group is involved in the provision of insurance and takaful, as well as investment banking, unit trust, fund management and stock broking services

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