Senior Data Scientist (Analytics)

Get to Know the Team

Financial Services (FS) Analytics team supports the FinTech and Digibank product and business organisations, across Lending, Insurance, Save and Spend, Payment Acquiring, Funds Core and Growth Experiences Platform. As a Senior Data Scientist (Analytics), you'll be part of the Lending tech family where we strive to be the best FinTech and Digibank in the region. Our team is focused on understanding user experiences and partnering with Business, Product, Design, and Tech teams to achieve the right outcomes. We are integral to product development, from understanding user journeys with UX designers, to developing hypotheses, through to post-rollout optimisation.

Get to Know the Role

Your role involves using data to uncover actionable insights about user needs and behaviours, serving as the Voice of the Customer across Lending's suite of products. You'll apply analytics to help launch, refine, and expand product offerings while promoting a culture of data-driven decision-making. You'll work with Product Managers, Credit Risk Managers, UX Designers, Engineers, and other stakeholders to design informed analytical projects that advance the product roadmap. Reporting to the Analytics Manager for Financial Services, you'll work onsite at South Quarter office to drive FS strategies forward.

The Critical Tasks You Will Perform

• Partner with product, design, and engineering teams to derive insights, design experiments, and drive key product decisions.
• Support strategic plans with data insights, performing deep-dives into user behaviour, segmented views and product efficacy.
• Provide tailored analysis for specific products and strategies, define critical business and product metrics, and make regular recommendations for continuous improvements.
• Design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
• Analyse clickstream and transactional data to uncover insights on user behaviour and drive product metrics. You will manage instrumentation for all feature releases within assigned tech families within GFin.
• Develop self-serve solutions for stakeholders that are scalable and automated to handle a product environment. You will drive plans involving Large Language Models or Generative Artificial Intelligence.

Qualifications

What Essential Skills You Will Need

• You have at least 4+ years of experience in Analytics, Business Intelligence, or Data Science, in a Tech (FinTech or E-Commerce) company.
• You have a Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
• You are proficient in writing advanced SQL queries and querying large relational databases.
• You have hands-on experience with data analysis and programming tools such as Python.
• You are experience in data visualisation platforms like PowerBI or D3.js to present findings.
• You have experience designing, running, and analysing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE).

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 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.