Data Science

Get To Know Our GX Bank Team

GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

Get To Know The Role

• Create and execute the data science & analytics approach in a startup atmosphere to support the business goals and objectives with commercial value of work prioritization and execution, which will deliver actionable insights for business planning and execution.
• Develop and deploy analytical solutions, data science models and / or analytics insights for management and business teams across the Digibank's regional footprint to make informed business decisions, 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 Digibank for both retail and wholesale banking customers.
• Uncover and deliver actionable insights, trends and product recommendations to support the business, through deep dive analysis and advanced visualization techniques.
• Conduct both historical and predictive analyses and convert into digestible, readable, and publicly-available insights.
• Design and develop Generative AI solutions by leveraging generative AI techniques to create new content, automate processes, and develop innovative products that offer added value to our customers, boost productivity and operational efficiency.
• Manage and own the entire end-to-end MLOps life cycle includes data exploration, training data, feature engineering, model development, validation, scoring, codes standardization, unit testing, deployment via API and model maintenance.
• Interface with business, risk & operation teams across the countries within the region to formulate solutions & product changes informed by your findings and business inputs / reality.
• Being the analytics technical expert with hands-on experiences who uses large datasets, creative and strong in applying varieties of Generative AI, machine learning methodologies / algorithms with different data tools in developing the models, running simulations & optimization.
• Being an analytics consultant for the business stakeholders to recommend and deliver both innovative and effective analytics solutions in driving continuous improvements and addressing business questions.
• Engineer predictive features from internal data assets to build refined customer profiles.
• Identify external data assets to bring into the model mix.
• Ensure high quality models and seamless integration, which includes model accuracy, automated quality checks, API latencies, deployment time etc.
• Write SQL scripts for data transformation.
• 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, by partnering closely with the broader business, operation, product, engineering and marketing teams to define requirements, design and analyze experiments that drive key product designs and marketing decisions.
• Act as the liaison officer between business units across the countries within the region and Data Engineering team on curating the data to be stored in a database and then used for dashboarding or analytics use cases.
• Thrive on sharing knowledge with others and helping collaborators grow to foster a positive and productive work environment.
• Stay current on cutting edge artificial intelligence (AI) tools and approaches.

The Must Haves

The Nice-To-Haves