Job Description

Get to know our Digital Bank Malaysia Project Team: Grab led consortium has been selected to receive a digital banking license in Malaysia, subject to meeting all of BNM's regulatory conditions. Malaysia digital bank will accelerate access to financi Get to know our Digital Bank Malaysia Project Team: Grab led consortium has been selected to receive a digital banking license in Malaysia, subject to meeting all of BNM's regulatory conditions. Malaysia digital bank will accelerate access to financial services for underserved Malaysians. We are forming a dedicated A team that aims to redefine banking and if you would like to join us on this journey, apply today! The day-to-day activities: You will lead and build a team of data analysts to build out the Digibank Develop a roadmap for data analytics for the digibank to partner with the commercial teams Explore and extract insights from massive dataset of geospatial, behavioural, economic, and the extraction of 3rd party data, to power a credit scoring model that can make financing decisions instantly, accurately and in fairness to the end customer Build models for the digibank based on alternative data (e.g. Credit profile/score) Leveraging data to help the business answer questions around further expansion, products, customer acquisition/retention/churn and any other business goals that can be addressed through data insights. Build, validate, test, and deploy machine learning or other data science models to predict and influence the behaviour of consumers with the goal of optimising system efficiency of the platform Develop a deep behavioral understanding and intuition of users and translate these intuitions into actionable, creative insights that produces heuristic or classification models to identify system violators Manage and own the entire end-to-end lifecycle of designing models, working with Engineering for implementation, scaling, to maintenance and enforcement Work independently or in a team to solve complex problem statements Test and validate these insights via rapid experimentation and deployment Interface with business & operation teams to formulate solutions & product changes informed by your findings The must haves: Experience in leading a team of data scientists, preferably in a startup or tech company PhD/Masters degree in Statistics, Mathematics, Econometrics, Operation Research, Computer Science or equivalent 8+ years relevant industry experience (preferably in an Internet or 'Direct to Consumer' company with high velocity data and scaled controlled experiments) Strong statistical knowledge - ideally having utilized controlled experiments in the industry Experience solving prediction, classification, reinforcement problems using applied statistics & machine learning Experience with Data Science / scripting / programming tools, including but not limited to Python, R or SQL Experience in Spark (Scala / pySpark) would be a plus Strong Product sense Self-Starter. Ability to work independently and drive own projects.