Vice President / Executive Director, Data Analytics

Reposted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Hong Kong
Remote
Senior level
Financial Services
The Role
The role involves extracting insights from data, building data pipelines, automating reports, and developing dashboards to support business needs.
Summary Generated by Built In
WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

 Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

 We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

What you will be doing:

  • Act as a strategic data translator, bridging business and technology by converting complex data, AI/GenAI insights, and analytical outputs into clear, actionable business strategies
  • Independently lead end-to-end data & analytics initiatives, incorporating predictive modeling, machine learning, and GenAI-driven analytics to support strategic decision-making and revenue growth
  • Partner closely with regional and in-country stakeholders (Business Units, Product, Risk, etc.) to identify growth opportunities and strengthen risk controls
  • Design, develop, and automate interactive dashboards and MIS using modern data visualization and scripting tools
  • Build and scale data-driven products and AI-enabled solutions that enhance operational efficiency and productivity
  • Collaborate with regional analytics teams to promote best analytical practices, and ensure consistent delivery across markets
  • Support the design, validation and evolution of modern data architecture, ensuring scalable, governed, and high-quality data foundations
  • Identify and integrate traditional and alternative data sources, and explore innovative use cases to unlock new business value
  • Serve as a trusted analytics and AI advisor to senior stakeholders, translating data insights into business narratives, decisions, and measurable outcomes

What are we looking for:

  • Bachelor’s degree or above, with 10+ years of experience in data analytics, data science, or related disciplines
  • Strong domain knowledge in SME and Corporate Banking, with understanding of customers, products, processes and market landscape
  • Proficiency in Python, SQL, and relational databases, with hands-on experience developing analytical applications and automated reporting solutions
  • Strong business acumen with the ability to translate complex data into meaningful insights
  • Strong experience with data visualization tools (e.g., Power BI) and building intuitive, insight-driven dashboards
  • Familiarity with modern data ecosystems, and experience in applying AI in business analytics is an advantage
  • Excellent communication and stakeholder management skills 
  • Self-driven, hands-on, and passionate about leveraging data / AI to drive measurable business impact

#LI-SL1

What we offer:


Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

Skills Required

  • Bachelor's degree in Computer Science, Statistics, Mathematics or related field
  • 5+ years of experience in data analytics / data engineering or related area
  • Proficient in Python and SQL
  • Experience with Hadoop, databases, DBT, Dagster, and Git
  • Strong knowledge of data engineering, ETL, and automation
  • Experience in dashboard development and Power BI (or similar tools)
  • Good communication and interpersonal skills
Am I A Good Fit?
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The Company
HQ: Singapore
Year Founded: 1932

What We Do

OCBC is the longest established Singapore bank, formed in 1932 from the merger of three local banks, the oldest of which was founded in 1912. It is now the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker. OCBC and its subsidiaries offer a broad array of commercial banking, specialist financial and wealth management services, ranging from consumer, corporate, investment, private and transaction banking to treasury, insurance, asset management and stockbroking services. OCBC’s key markets are Singapore, Malaysia, Indonesia and Greater China. It has more than 570 branches and representative offices in 19 countries and regions. These include about 300 branches and offices in Indonesia under subsidiary Bank OCBC NISP, and over 90 branches and offices in Mainland China, Hong Kong SAR and Macau SAR under OCBC Wing Hang. OCBC’s private banking services are provided by its wholly-owned subsidiary Bank of Singapore, which operates on a unique open-architecture product platform to source for the best-in-class products to meet its clients’ goals. OCBC's insurance subsidiary, Great Eastern Holdings, is the oldest and most established life insurance group in Singapore and Malaysia. Its asset management subsidiary, Lion Global Investors, is one of the largest private sector asset management companies in Southeast Asia.

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