Data Science & Analytics, Senior Specialist

Overview

Data Science & Analytics, Senior Specialist at GXBank. Join to apply for the Data Science & Analytics, Senior Specialist role at GXBank.

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.

Responsibilities

• Create and execute the data science & analytics approach in a startup atmosphere to support business goals and objectives with commercial value of work prioritization and execution, delivering 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 inform decisions across functions such as customer acquisition, customer retention, product development, pricing decisions, credit risk, fraud identification, and other needs for both retail and wholesale banking customers.
• Uncover and deliver actionable insights, trends and product recommendations through deep dive analysis and advanced visualization techniques.
• Conduct historical and predictive analyses and translate results into digestible, readable, and publicly-accessible insights.
• Design and develop Generative AI solutions to create new content, automate processes, and develop innovative products that offer value to customers, boost productivity and operational efficiency.
• Manage and own the end-to-end MLOps lifecycle, including data exploration, training data, feature engineering, model development, validation, scoring, standardization, unit testing, deployment via API, and model maintenance.
• Interface with business, risk & operation teams across the region to formulate solutions and product changes informed by findings and business inputs.
• Apply hands-on analytics expertise using large datasets and Generative AI, machine learning methods, and various data tools to develop models, run simulations, and optimizations.
• Act as analytics consultant to business stakeholders, delivering innovative and effective analytics solutions for continuous improvement and to address business questions.
• Engineer predictive features from internal data assets to build refined customer profiles and identify external data assets to enhance models.
• Ensure high-quality models and seamless integration, including model accuracy, automated quality checks, API latency, deployment time, etc.
• Write SQL scripts for data transformation and ensure data accuracy and good data segmentation for tactical data mining.
• Take on responsibilities as a Technical Project Manager to drive projects, partnering with the business, operation, product, engineering and marketing teams to define requirements and analyze experiments that drive product designs and marketing decisions.
• Collaborate with data engineering to curate data stored for dashboards and analytics use cases.
• Share knowledge with others and stay current on cutting-edge AI tools and approaches.

Must Haves

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