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Senior Analyst/Analyst, Advanced Data Science (Leading Islamic Bank in Malaysia)

Bank Rakyat Malaysia Berhad

Kuala Lumpur

On-site

MYR 150,000 - 200,000

Full time

Today
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Job summary

A leading Islamic bank in Kuala Lumpur is seeking a Senior Analyst/Analyst in Advanced Data Science to drive the data and analytics agenda. The role involves transforming data into actionable insights using advanced analytics and machine learning techniques. Candidates should have a Bachelor's or Master's degree and experience in Python, SQL, and data visualization tools. The position promises a meaningful mission with the potential for significant organizational impact.

Benefits

Staff Financing
Flexi Benefits
Allowance

Qualifications

  • Minimum 3 years of experience in data science roles.
  • Proficiency in programming languages such as Python, R, SQL.
  • Solid understanding of statistical modeling and machine learning.

Responsibilities

  • Collaborate with teams to identify analytics use cases.
  • Prepare and analyze data for insights.
  • Design and develop advanced data science models.
  • Integrate models into business systems effectively.

Skills

Proficiency in Python
Strong SQL skills
Experience with R
Data manipulation with Pandas
Understanding machine learning algorithms
Data visualization skills

Education

Bachelor's or Master's degree in relevant fields

Tools

SQL
Power BI
Tableau
Job description
Senior Analyst/Analyst, Advanced Data Science (Leading Islamic Bank in Malaysia)

Own the enterprise data, analytics and AI agenda for a leading Islamic bank—turning trusted, Shariah‑aligned data into real business value at scale.

Why this role matters

Senior Analyst/Analyst of Advanced Data Scientist will play a role in transforming data into actionable insights that drive decision-making and innovation across the organisation. He or She will leverage advanced analytics, machine learning, statistical modelling and visualization to drive data‑informed decision across risks, customer experience and financial performance.

What you’ll do

Collaboration with Business and IT teams to identify business challenges/use cases that can be resolved utilising on advanced analytics.

Identify challenges that are potential business cases that can be resolved via data driven solution.

Design and propose the advanced data science/analytics solutions and deliverables based on the established success criteria as well as define key metrics for the solution’s success.

Data preparation and exploratory data analysis.

Pre‑process and transform the data to ensure that it is in the optimal format, layout, or shape for the project purposes.

Conduct exploratory data analysis to establish variable distributions and inter‑variable relationships.

Conduct missing data analysis and imputation utilising relevant techniques and establish whether data enrichment is necessary for achieving the project objectives.

Delivery of advanced analytics to assist organisations make informed decisions.

Design and develop a data science/analytical model utilising on statistical methods and best‑practice advanced modelling techniques based on knowledge of the data and the technique’s constraints, assumptions, interpretability, robustness, and application.

Integrate the model into the business system taking into consideration the existing infrastructure, architecture, technologies, and the organisational context.

Ensure that the deployed solutions are sustainable and maintained over time.

Plan the execution of User Acceptance Test (UAT) and System integration testing (SIT).

Involve actively in UAT and SIT process and give feedback/recommendation if needed.

Complete the UAT and SIT according to project timeline.

Present insights to stakeholders utilising on data storytelling/data visualisation.

Translate analytics results into actionable insights, identifying trends and implications for the organisation from complex datasets.

Communicate insights effectively to stakeholders through compelling data storytelling and visual representation techniques.

What success looks like (12–18 months)

Comprehensive plan that outlines the problem statements, business requirements and the proposed solution.

Initial data investigation and exploratory data analysis report.

Development and deployment of data product/solution.

Data product/visualisation to represent the analytics results and actionable insights.

What you’ll bring

Bachelor’s or master’s degree in computer science/ data science/ information technology/ Statistics or related field.

Minimum 3 years of experience.

Proficiency and strong in programming languages such as Python, R, SQL etc.

Experience with data manipulation tools such as SQL, Pandas etc.

Solid understanding and experience with machine learning algorithms, statistical modelling and testing.

Familiarity with data visualization tools such as Power BI, Tableau, MicroStrategy etc.

Benefits that matter to leaders

Mission with meaning: Advance financial inclusion and customer trust through Shariah‑aligned, ethical data and AI.

Enterprise scope: Board‑level mandate, bank‑wide impact, and sponsorship to modernise platforms and practices.

Talent and culture: Build and lead a top‑tier data organisation with strong craft, stewardship and growth pathways.

Platform for innovation: Run pragmatic experiments where it counts; standardise where it scales.

How to express interest

If you’re energized by building a trusted, Shariah‑aligned, AI‑ready data ecosystem—and converting analytics into outsized business value—we’d love to hear from you.

Perks and benefits

Staff Financing, Flexi Benefits, Allowance

Bank Information

Bank Rakyat is the biggest Islamic cooperative bank in Malaysia, established on 28 September 1954 under the Cooperative Ordinance 1948. It offers consumer banking, commercial financing, savings, investments, and financial planning products, and aims to consolidate the cooperative sector as a mainstay of economic growth.

Application details

Your application will include the following questions:

  • How many years’ experience do you have as a data scientist?
  • Which of the following statements best describes your right to work in Malaysia?
  • Have you worked in a role which requires experience with machine learning?
  • What’s your expected monthly basic salary?
  • Which of the following types of qualifications do you have?
  • How many years’ experience do you have as an Executive Vice President?
  • How many years’ experience do you have as a SQL BI Developer?
Company Size

Banking & Financial Services; More than 10,000 employees.

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