An excellent opportunity to be part of analytics team providing meaningful insights for fraud detection in trade and payment transactions within the bank.

Mandatory Skill(s)

  • Degree in Business Analytics, Applied Mathematics or Statistics;
  • Has 2-4 years of relevant working experience on Data Analytics platform;
  • Strong working knowledge and coding experience with R or Python;
  • Good knowledge on Hadoop, SQL, statistics;
  • Has a strong aptitude for numbers and comfortable handling large volumes of data;
  • Posses strong analytical skills;
  • Excellent verbal and written communication skills.

Desirable Skill(s)

  • Experience in financial industry.

Responsibilities

  • Coordinate with business users/stakeholders to gather necessary elements for successful implementation of initiative(s);
  • Develop machine learning algorithms for fraud detection in trade and payment transactions using R/python;
  • Perform full cycle of Data Analyst activities such as analysing data, loading and clean data from different sources;
  • Identifying trends, developing insights and presenting key findings to the management;
  • Conducting assessment and examination of data from the source to ensure consistency;
  • Ensures documentation of processes, analytics design, measure definitions, data integration, and development;
  • Responsible for test planning, creation, execution (UAT) and defects management;
  • Champion Data Analytics driven activities within the team.
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