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. Grab 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

About the Role

• Develop analytical solutions and building dashboards:

• 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 the bank for both retail and wholesale banking customers.

• Write SQL scripts for data transformation.

• Uncover and deliver insights and trends to deliver actionable product recommendations to support the business, through dashboards and advanced visualization techniques.

• 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

• Taking on the responsibilities as a Technical Project Manager to drive projects:

• Partner closely with the broader business, product, engineering and marketing teams to define requirements, design and analyze experiments that drive key product designs and marketing decisions.

• Creating data products which can be readily used by partners and business units across the bank.

• Act as the liaison officer between business units and Data Engineering team on curating the data to be stored in a database and then used for dashboarding.

• Leading a small team of junior data analysts in delivering big data analytics projects.

Must Haves

• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering or other quantitative subjects

• Advanced in SQL, must have hands-on experience with Python and Tableau.

• Familiar with Airflow and DAGs to automate and schedule data pipeline tasks and workflows

• Good to have experience on tools such as dbt, Presto, Hive, and Data Visualization platforms like Power BI/D3.js

• Solid experience in reporting to CEO / directors in delivering analyses and reports

• Experience with designing, running and analyzing A/B tests and product experiments with a good understanding of hypothesis testing and the basic principles of Design of Experiment.

• Expertise in data retrieval, data modeling (both logical and physical), data warehouse design.

• 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.

• Proactive in driving progress in projects, has excellent stakeholder management ability, and able to collaborate and coordinate well among the different stakeholders.

• Experienced with leading a small team of junior data analysts