Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Data Scientist (Analytics), Financial Services
- Location
- Singapore
- Type
- Full time
- Posted
- 10H AGO
About the role
Company Description
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Job Description
Why This Role
Most early-career analytics roles hand you a dashboard queue, or ask you to build pipelines. We instead will hand you real 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 alongside 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 from day one. Few teams anywhere work this way yet!
Get To Know The Team
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 real ownership early.
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 Analytics Manager of Lending and work onsite at our office in Singapore, Grab HQ One-North.
What You'll Do
- Deliver reliable analysis: Take clearly defined problems and deliver accurate answers with minimal guidance.
- 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.
- Own your growth: Ask for feedback, act on it and pick up our best practices quickly.
Qualifications
What We're Looking For
- 0 to 3 years in analytics, data science or a related role. Strong 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 is a plus.
- 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!
- Clear 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. Experience with a visualisation tool.
Additional Information
How We Work
- We get it done: A good answer this week beats a perfect one, and then we iterate.
- We're comfortable with ambiguity: Not every question is clean. We flag what's unclear, make a sensible call and keep moving.
- We're proactive. We don't wait to be told. If something looks off, we raise it.
- Attitude matters as much as output. Outcomes aren't always in our control. Ownership, effort and how we treat each other are.
- We share freely. Data, code, prompts and lessons. Nobody gatekeeps.
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 provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
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