Senior Data Scientist (Analytics) Financial Services

Get to Know the Team

The Grab Financial Services Analytics team supports the Financial Services product and business organisations across Payments Lending Insurance and Kios. As a Senior Data Scientist (Analytics) you will be part of the Lending tech family where we aim to be the best FinTech company in the region. Our team focuses on understanding user experiences and partners with Business Product Design and Tech teams to achieve the right outcomes. We are necessary to product development from understanding user journeys with UX designers to developing hypotheses through to post-rollout optimisation.

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 Lendings suite of products. You will use data to unveil insights to help scale our products. You will promote data-driven decision-making within GFin 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 Lending Analytics Manager and work onsite at our office in Petaling Jaya Malaysia.

The Critical Tasks You Will Perform

• You will partner with product design and engineering teams to obtain insights design experiments and guide important product decisions.
• You will support strategic plans with data insights performing deep-dives into user behaviour segmented views and product efficacy.
• You will provide tailored analysis for specific products and strategies define critical business and product metrics and make regular recommendations for continuous improvements.
• You will design measure and recommend A/B tests and multivariate experiments including layout optimisation UI/UX efficacy algorithm effectiveness and API performance.
• You will analyse clickstream and transactional data to uncover insights on user behaviour and guide product metrics. You will manage instrumentation for all feature releases within assigned tech families within GFin.
• You will develop self-serve solutions for partners that are scalable and automated to handle a product environment. You will guide 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 Bachelors 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 skilled in data visualisation platforms like PowerBI or 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 lifes challenges.
• Balancing personal commitments and lifes 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.

Remote Work :

No

Employment Type :

Full-time