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Regulatory Compliance Analytics Officer

About the job

Accountabilities and Key Roles:

  • Development and implementation of predictive analytics / Machine Learning algorithms to optimize the efficiency and effectiveness of the Group Regulatory Compliance monitoring program in fighting financial crime.
  • Develop advanced predictive analytics to capture and mitigate the risk of Fraud cases, Money Laundering, Financial Crime, Sanctions, and other related compliance business functions.
  • Closely collaborate with Financial Crime and AML stakeholders to translate money laundering methods into predictive analytical models.
  • Apply the best possible combination of explanatory analysis for feature extraction, visualization, data engineering, and machine learning to the area of combatting financial crime.
  • Work with complex datasets, and generate GRC insights & visualizations for both technical and non-technical audiences.
  • Conduct deep dives into Financial Crime and AML systems to identify key business opportunities.


Job Requirements:

Education:


  • Bachelor’s degree from a recognized university in Data Science, MIS, BIS, or computer science.
  • Certification in data science, Python/R, SQL, and BI tools is a plus.


Experience:

  • Up to 5 years of relevant experience in data science / machine learning domain (must).
  • Business Intelligence, Data warehousing, Data modelling experience.
  • Programming Experience.


Competencies:

  • Analytical skills and proven ability to think out-of-the-box.
  • Good understanding of GRC.
  • Presentation, communication & interpersonal skills.
  • Fluent in English and in Arabic.

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