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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