JOB SUMMARY:

We are seeking a highly skilled Data Analytics Specialist to join our team. The ideal candidate will have expertise in developing quantitative risk management models, implementing data analysis applications for fraud detection, and contributing to financial crime prevention efforts.

JOB RESPONSIBILITIES:

• Develop and implement quantitative risk management models to identify and mitigate financial crime risks.

• Apply data analytics techniques to detect fraud for financial institutions and payment intermediaries.

• Consult and provide expert insights on fraud prevention and financial crime detection strategies.

• Collaborate with stakeholders to enhance risk analysis frameworks and fraud detection capabilities.

• Utilize industry-leading data analytics tools and methodologies to improve risk assessment processes.

JOB QUALIFICATIONS:

• Bachelor's degree or higher in Data Science, Information Technology, Business Analysis, Finance, or a related field.

• Possession of at least one of the following data analysis certifications:

o Google Data Analytics Professional Certificate

o IBM Data Analyst Professional Certificate

o IBM Data Science Professional Certificate

o Data Science Council of America (DASCA) certification

o Microsoft Certified Azure Data Scientist Associate

o AWS Certified Data Analytics

• Minimum of 10 years of experience in developing quantitative risk management models for financial crime detection.

• At least 5 years of experience in consulting or implementing data analysis applications for fraud detection in financial institutions or payment intermediaries.

• Experience in at least 3 projects related to fraud prevention and financial crime prevention.

SOFT SKILLS:

• Excellent verbal and written communication skills

• Excellent interpersonal and conflict resolution skills.

• Strong analytical and problem-solving skills.

• Adaptable and flexible

• Organized and keen to details.

• Can work well within a team.

• Has the initiative and self-drive

• Able to work independently and under minimal supervision.

Please refer to job description.