Data Scientist (Analytics), Financial Services

Job Description

Get to Know the Team

Financial Services (FS) Analytics partners with Product, Business, Risk, Design and Engineering across Lending, where we aim to be the biggest FinTech Lender in the region. We sit inside the decisions, not downstream of them. You'll learn from senior analysts who have done this across Grab, and you'll get ownership early.

Most analytics roles hand you a dashboard queue, or ask you to build pipelines. We instead will hand you questions about how millions of people borrow, pay and save.

Grab Financial Services runs payments, lending, insurance and the digital banks as one team. We serve people across Southeast Asia that traditional banks often overlook. Your work will shape products they use every day.

You'll also learn analytics the way it's done now, in an AI-first world. Our analysts work with AI agents every day. Agents take the first pass at queries and analysis. You'll learn to direct them, check them and build with them. Few teams anywhere work this way yet!

Get to Know the Role

You will use data to understand user needs and be the de-facto Voice of the Customer (users, driver-partners, merchants, agents) across Lending. You will use data to unveil insights to help scale our products. You will promote data-driven decision-making within Financial Services and partner with Product Managers, Business Owners, UX Designers, and Engineers to design analytical projects that inform the Product roadmap. You will provide expertise and produce data-driven hypotheses to solve important Product and Business problems, and guide our Financial Services' strategies forward.

You will report into the Senior Analytics Manager, Payments of Lending and work onsite at our office in Singapore, Grab HQ One-North.

The Critical Tasks You Will Perform

• Deliver reliable analysis: Take clearly defined problems and deliver accurate answers.
• Learn the experimentation craft: Help design, run and read A/B tests with support from senior analysts. Build your judgement on how to interpret experiment results.
• Reporting: Build and maintain dashboards, metric definitions and the data your partners rely on. Accuracy is non-negotiable.
• Work AI-first: Use AI tools every day to write SQL and Python, explore data and speed up your work. Check what they give you before anyone else sees it. Automate the repetitive parts of your job.
• Keep partners in the loop: Share progress, changes and findings early. Explain what the data says in plain language and with enough context to act on.
• Manage your growth: Ask for feedback, act on it and pick up our best practices quickly.

Qualifications

What Essential Skills You Will Need

• 0 to 3 years in analytics, data science or a related role. Internships or research projects count.
• A degree in Statistics, Economics, Mathematics, Engineering, Computer Science or a related field.
• Solid SQL and working Python.
• A good grasp of statistics and hypothesis testing. Hands-on A/B testing experience will be an advantage.
• You already work with AI. You use AI tools in your daily work and can show us something you built or automated with them. A side project counts!
• Communication - you can explain an analysis to someone who isn't a data person.
• Curiosity and a fast learning curve. You ask good questions and don't stay stuck for long.

Nice to have: an interest in FinTech, lending or banking. 1+ years of experience with a visualisation tool.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What we stand for at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.