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Lead Data Scientist (Analytics), Financial Systems

Petaling Jaya, Malaysia

Live, first seen by us 13 days ago
Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions.

  • Support strategic plans with data insights, performing deep-dives into user behavior, segmented views and product efficacy.

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

From the employer’s posting
What You'll Do: Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions. Support strategic plans with data insights, performing deep-dives into user behavior, segmented views and product efficacy.
Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions. Support strategic plans with data insights, performing deep-dives into user behavior, 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.
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 guide product metrics. You will manage instrumentation for all feature releases within assigned tech families within the bank.

What you’ll bring

All qualifications

Core experience

  • Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
  • Proficient in writing advanced SQL queries, Python and querying large relational databases.
  • Experience translating data insights into relevant recommendations for non-technical and senior team members.
  • Experience designing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE).
Qualification wording
Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
Proficient in writing advanced SQL queries, Python and querying large relational databases.
Experience translating data insights into relevant recommendations for non-technical and senior team members.
Experience designing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE).
Education & alternatives
Who We Are Looking For: - Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields. - Minimum 5 years of experience in Analytics, Business Intelligence, or Data Science, preferably in a Bank or Tech (FinTech or E-Commerce) company.

About Grab

Grab is Southeast Asia's leading superapp.

In the employer’s words · Read in context

Apply at Grab

Posting record

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Status in our records
Live
First seen by us
Oct 22, 202613 days ago
Recorded sightings
69
Last seen by us
Nov 4, 2026
Reposted
once since Sep 18, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 13

Similar jobs usually come down between day 7 and day 55.

From 10,019 similar postings that came down. Coming down is not always a hire.

Grab is hiring

53 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down at a usual pace
  • 28% of open jobs were reposted
Hiring record

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  • Python
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Where the posting names them
- Minimum 5 years of experience in Analytics, Business Intelligence, or Data Science, preferably in a Bank or Tech (FinTech or E-Commerce) company. - Proficient in writing advanced SQL queries, Python and querying large relational databases. - Skilled in data visualisation platforms like Tableau or HTML to present findings.
- Proficient in writing advanced SQL queries, Python and querying large relational databases. - Skilled in data visualisation platforms like Tableau or HTML to present findings. - Experience translating data insights into relevant recommendations for non-technical and senior team members.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

 

The Role

As our Lead Specialist for Data Scientist (Analytics), you will be the strategic voice behind our product development, turning complex data into relevant experiments that shape the bank's future. This isn't just an analytics role; it's an opportunity to lead the data lifecycle, pioneer Generative AI programs, and directly influence how we build products at GXBank.

 

 

What You'll Do:

  • Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions.
  • Support strategic plans with data insights, performing deep-dives into user behavior, 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 guide product metrics. You will manage instrumentation for all feature releases within assigned tech families within the bank.
  • Develop self-serve solutions for partners that are scalable and automated to handle a product environment.
  • Guide plans involving Large Language Models or Generative Artificial Intelligence

Qualifications

 

Who We Are Looking For:

  • Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
  • Minimum 5 years of experience in Analytics, Business Intelligence, or Data Science, preferably in a Bank or Tech (FinTech or E-Commerce) company.
  • Proficient in writing advanced SQL queries, Python and querying large relational databases.
  • Skilled in data visualisation platforms like Tableau or HTML to present findings.
  • Experience translating data insights into relevant recommendations for non-technical and senior team members.
  • Experience designing 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.

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.

 

You will report to Senior Analytics Manager, Payments and will work on site from our office in Petaling Jaya.

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Location & working pattern

Petaling Jaya, Malaysia

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. You will report to Senior Analytics Manager, Payments and will work on site from our office in Petaling Jaya.
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