Full-timeTech & engineering· Posted 20 Sept

Senior Data Scientist (Analytics), Financial Services

GrabFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

SingaporeGrab One North, Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

This role sits within the Financial Services Analytics team supporting the Save & Spend product suite, covering deposits, investments, cards, payments, wallet and digital goods. You will act as the voice of the customer, using data to shape product decisions across the region. It suits an experienced analytics professional who enjoys partnering with product, design and engineering teams.

What you'll do

Partner with product, design and engineering teams to derive insights, design experiments and drive product decisions
Support strategic plans with data insights, including deep-dives into user behaviour, segmented views and product efficacy

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Provide tailored analysis for specific products and strategies, define key business and product metrics, and recommend continuous improvements

Design, measure and recommend A/B tests and multivariate experiments covering layout optimisation, UI/UX efficacy, algorithm effectiveness and API performance

Analyse clickstream and transactional data to uncover user behaviour insights and drive product metrics

Manage instrumentation for all feature releases within the assigned product team

Develop scalable, automated self-serve solutions for stakeholders

Drive plans involving Large Language Models or Generative AI

Good to know

Based onsite at the Grab One North Singapore office
Reports to the Senior Analytics Manager
FlexWork arrangements such as differentiated hours are available

Requirements

At least 4 years of experience in Analytics, Business Intelligence or Data Science in a tech (FinTech or E-Commerce) company or financial institution
Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering or a related field
Proficient in writing advanced SQL queries and querying large relational databases
Hands-on experience with data analysis and programming tools such as Python or R
Skill in data visualisation platforms like Tableau, PowerBI or D3.js to present findings
Experience designing, running and analysing A/B tests and product experiments, with knowledge of hypothesis testing and basic Design of Experiments principles

Benefits

Term Life Insurance and comprehensive Medical Insurance
GrabFlex benefits package that can be customised to your needs
Parental and Birthday leave
Love-all-Serve-all (LASA) volunteering leave
Confidential Grabber Assistance Programme for you and your loved ones
FlexWork arrangements such as differentiated hours

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Senior Data Scientist (Analytics), Financial Services

About the role

What you'll do

Good to know

Requirements

Benefits

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