Grab is one of Southeast Asia's leading super-app that provides everyday services that matter the most to consumers. Through its open platform strategy, Grab works with partners to provide safe, accessible and affordable transport, food, package, grocery delivery, mobile payments and financial services to millions of Southeast Asians. Grab’s lending business (GFSA – Grab Financial Services Asia) is a recent addition to Grab’s array of product and service offerings focused on extension of Micro credit to drivers, agents and merchants in Grab’s ecosystem. GFSA team is a combination of strong talent pool in its Regional Hub (Singapore) and deep local market operators across its focus markets. We are incredibly excited about the opportunity ahead of us. We are looking to put together the best possible combination of business build drive, industry expertise and local market depth as part of our team. GFSA team is responsible for end to end conceptualisation, design, development, execution and ongoing management of all lending activities in its focus markets and segments.

Mission 1. Trust that you will have a safe ride Travel with confidence knowing that Grab’s top priority is your safety. From driver safety training and vehicle safety checks, to personal accident insurance coverage for all our drivers and passengers and government partnerships to promote safety, you know we have your back. 2. Take the transport option that fits your need We put freedom in your hands. The most transport options, at every price point, with comfort, speed and affordability – you can have it all at the touch of a button. 3. Let us take care of you We believe that a sustainable business is one that improves the lives of the people it touches – passengers, drivers, employees, governments and society at large.

Life at Grab is all about positive disruption – and yes, crazy days are part of that package too. Still, that’s never stopped a Grabber from having fun. In fact, it’s what keeps us motivated to shake things up further. Life as a Grabber means succeeding in a culture of passion and innovation. We are hungry to make a difference, and recognise that good decisions often come from the heart. We are humbled by our communities, and are proud to serve them with honour. We come from all over the world, united by a common goal to make life better everyday for our users. If you share our mission of Driving Southeast Asia Forward, apply to be part of the team today!

What will the Data Science Manager for Grab Financial do? - Develop a deep behavioural understanding and intuition of our drivers, agents and merchants to build predictive models for credit risk, collections, fraud, SME analytics and other business needs for Grab Financial Lending business. - Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance. - Interface with business, risk & operation teams to formulate solutions & product changes informed by your findings and business inputs/reality, esp. for Collections and SME risk analytics - Team managing role with at least 8+ years of experience. - Work independently or in a team to solve complex problem statements. - The day-to-day activities: Execute on core elements of the 'Data Strategy' for the lending business. - Build predictive models using a mix of machine learning and traditional analytics methods. - Validate models on new datasets, based on in-market performance. - Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix. - Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies. - Work backwards to conceptualise and design analytic model frameworks to solve business problems. - Strong communication skills to share your learnings, lead with the given strategy, get multiple stakeholders to buy into the vision and execution of the analytics roadmap. What must the Data Science Manager for Grab Financial be equipped with? - Experience in problem solving, especially in the Fintech and lending domain. - Expert in building machine learning and predictive models in Python and Spark. - Coding and modelling skills in Spark, Python, Java. Others like SAS, R good to have. - Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines etc. - Sound knowledge of statistical modelling methods. For e.g. CHAID CART, Regressions, SVD, PCA etc. - Expert in feature creation on a variety of data types. - Professional experience in building machine learning analytics model development - Understanding of trade-offs between model performance and business needs. - Strong problem-solving mindset is critical for success in this role. - Team leading experience - Self-motivated, independent learner, and enjoy sharing knowledge with team members - Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Telecom analytics, Retail analytics, Fraud analytics etc. We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride. Click "I'm Interested" for this opportunity!