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Digibank Malaysia Project - Data Scientist, SpecialistMalaysia

Grab

Grab

Data Science
Malaysia
Posted on Friday, May 26, 2023

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

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Equal opportunity

Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.

Recruitment agencies

Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.