Senior Data Scientist (Analytics), Financial Services
Grab is hiring a Senior Data Scientist (Analytics), Financial Services in Singapore, Singapore. Level rates it ; you can apply on Grab.
Level's read on this job
- On Level's scale, this data scientist role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 436 other open roles at Grab.
AI in this role
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.
Get to Know the Team
The Financial Services (FS) Analytics team is the analytics and data function for Grab Financial Services which includes the Digibanks — GXS Bank (Singapore) and GX Bank (Malaysia).
You will be part of the Save & Spend (SNS) Tech Family (TF) analytics team. The TF mission is to power smarter saving, investing and spending across Southeast Asia, and to make every dollar move efficiently and work for customers.
Product coverage spans Deposits, Investments, Cards (Debit and Credit), Consumer Payments, Wallet, and GrabKios / Digital Goods / Agent Network.
Get to Know the Role
As the Senior Data Scientist (Analytics), you'll report into the Senior Analytics Manager and work onsite in Grab One North Singapore office. You'll use data to understand user needs and be the de-facto Voice of the Customer (users, driver-partners, merchants, agents) across the Save and Spend TF suite of products. You'll use data to unveil insights to help launch, improve and scale our products. You'll champion data-driven decision-making within Grab Financial Services and partner with Product Managers, Business Owners, UX Designers, Marketing and Engineers to design analytical solutions that drive the Product roadmap. You'll provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems, and drive our Financial Services strategies forward.
The Critical Tasks You Will Perform
- You will partner with product, design, and engineering teams to derive insights, design experiments, and drive key 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 drive product metrics. You will manage instrumentation for all feature releases within assigned PST.
- You will 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.
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 or Financial Institution.
- 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 or R.
- You have skill in data visualisation platforms like Tableau or 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).
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.
How we rate this
Senior Data Scientist (Analytics), Financial Services at Grab rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
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Pay
- Typical data scientist job
- $167k
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