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

Get to Know the Team

• Gfin Analytics team supports the Fintech product, business and risk orgs. Data Scientists (Analytics) are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending).
• This role is parked in the Lending tech family
• We care about understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set
• We remain necessary to product development from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization.

Get to Know the Role

• Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams.
• Leverage data for further insights to improve decision-making for Lending teams at Grab by developing dashboards, maintaining pipelines, holding metrics reviews and coming up with insight decks/experiments
• Champion data-driven decision-making and culture in Grab Financial GroupPartner with Product Managers, Business Owners, UX Designers,Risk and Engineering to design and deliver analytical projects that help support the GFG Product roadmap
• Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems.
• You will be reporting to "Analytics Manager II".
• This is a Hybrid role based in Bangalore (3 days Work from Office every week).

The Critical Tasks You Will Perform

• Design and analyze A/B tests and multivariate experiments for UI/UX, layout, contextualization, algorithms, and APIs.
• Mine clickstream and transactional data to derive insights on user behavior and drive GFG product metrics.
• Own instrumentation for feature releases within assigned tech families in GFG.
• Generate segmented customer and merchant insights to refine product iterations and improvements.
• Deliver reliable, on-time outputs and build scalable, automated self-serve solutions for stakeholders.

Qualifications

What Essential Skills You Will Need

• Bachelor’s/Master’s in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
• 3+ years of experience in Analytics, BI, or Data Science, preferably in Internet/E-Commerce with large, high-velocity data.
• Strong SQL experience querying large relational databases; prior lending/credit risk experience preferred.
• Translate data insights into relevant recommendations for non-technical and senior team members.
• Proficiency in Python, Databricks, Tableau/Power BI, and expertise in A/B testing, hypothesis testing, and DoE principles.

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.