Job Summary

$7,000 - $11,167 SGD / Monthly EST

Job Type


Years of Experience
Information not provided

Tech Stacks

Job Description

We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. Digibank is a Grab-Singtel consortium, aimed at enabling the underserved groups to easily access transparent financial services that are embedded in their everyday activities, helping them achieve a better quality of life. We are incredibly excited to build a Digital Bank with the right foundation using data, technology and trust to solve problems and serve customers


  • Develop and deploy analytical solutions across a variety of business functions, including, but not limited to: customer acquisition, customer retention, product development, pricing decisions, credit risk, fraud identification and many other business needs within Digibank for both retail and wholesale banking customers
  • Uncover and deliver insights and trends to deliver actionable product recommendations to support the business, through dashboards and advanced visualization techniques,
  • Creating data products which can be readily used by partners and business units across the bank.
  • Partner closely with the broader product, engineering and marketing teams to define requirements, design and analyze experiments that drive key product designs and marketing decisions.
  • Develop analytic tools to help the data team and other disciplines be more effective in debugging, data summarization and analysis of results
  • Conduct both historical and predictive analyses and convert into digestible, readable, and publicly-available insights.
  • Ensure data accuracy and good segmentation of data sets for tactical data mining
Must Haves:

  • Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering or other quantitative subjects
  • Extensive hands-on experience with tools such as Python, R, Presto, SQL/Hive, and Data Visualization platforms like Tableau/ Power BI/D3.js
  • Solid experience in reporting to CEO / directors in delivering analyses and reports
  • Extensive expertise in data modeling, both logical and physical
  • Experience with designing, running and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE
  • Expertise in data retrieval, data modeling, data warehouse design, and predictive modeling
  • Passionate about solving problems – possesses a relentless need for investigation and data exploration.
  • Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
  • Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.

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