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Head Data Science and Analytics (Digital Bank)

Date: 13-Jan-2021

Location: SG

Company: Singtel

“We are living in exciting times. Technology is reshaping how we live and we want to use it redefine how financial services are offered, which is why Singtel and Grab are coming together. Singtel is Asia’s leading communications group connecting millions of consumers and enterprises to essential digital services while Grab is the leading technology company in Southeast Asia offering everyday services to consumers. Together, we have big dreams to unlock and financial inclusion for people in our region is just one.  We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.”

 

Digibank Data Analytics Department works on some of the most challenging and fascinating problems in transport, economics, logistics, payments, and the space around.  We apply machine learning, simulation, forecasting, scheduling, optimization, and many other advanced techniques on our huge datasets to push our business metrics to their bounds, directly and indirectly. We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.
 
Get to know the Role:
•    As the Head of Data Science and Analytics, 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 finding
 
The candiate should possess : 
•    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.  
 
Team culture:
•    We are not just a company of problem solvers. We are a company of people who solve problems because we love serving people. 
•    We are resilient, adaptable, and have the tenacity to stick to our goals even in the face of adversity or setbacks.
•    We value integrity and the trust placed in us by our customers and partners.
•    We are aware of our strengths and weaknesses, and are ready to own up to our imperfections.