Job description

Job Description

The Compliance function is a strategic partner and a trusted business enabler to the Board and senior management. It is our responsibility to ensure that the Group continuously fulfils its regulatory obligations in today’s tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and to assess regulatory risks. This collaboration also includes developing practical solutions that integrate regulations into operational

requirements as well as actively shaping and promoting stronger compliance culture and literacy in the Bank.

Job Responsibilities

  • Specializes in data science work and building visualisation dashboards.
  • Able to collect, parse, manage, analyze and visualise large sets of data to turn information into insights. Experienced in building descriptive / diagnostic data models.
  • Work closely with end-users and other key stakeholders (e.g., Investigation Team, Business Analyst, Data and Ops Engineer) to identify additional areas which require support or future model build.
  • Support special/high-priority projects, including building AFC analytical capabilities in response to external (e.g., regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities/models.
  • Handle analysis work driven by network linked models.
  • Knowledgeable to apply Gen AI into data science.
  • Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC/AML.

Experiences / Qualifications

  • Bachelor's degree in Data Science, Statistics, Finance, or a related field; a Master's degree or relevant professional certifications are a plus.
  • Minimum of 7 years of experience in the financial services industry.
  • Able to instill strong Model Governance throughout the model development cycle.
  • Proficiency in data analysis tools and software, such as SQL or Python.
  • Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively across various business units and functions.

Additional Requirements

University-Bachelor - Data Science & Analytics, University-Bachelor - Finance & Statistics

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Job Summary

  • Published on: 06 May, 2026
  • Category: Legal / Compliance
  • Vacancy: 1
  • Job type: Full Time
  • Salary:
  • Location: On site
  • Job Nature: Full Time

Company Details

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