Job Summary

$7,872 - $12,474 SGD / Monthly EST

Job Type


Years of Experience
Information not provided

Tech Stacks

Job Description

  • 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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