Data ScientistKAZ-DS-0109-S1

Sundus Recruitment Services; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a skilled analytics professional to leverage advanced analytics methods and machine learning techniques to enhance fraud prevention and detection. In this role, you will manage fraud tools, analyze trends, and provide strategic recommendations to senior management. Your expertise will drive the development of data-driven models and dashboards, ensuring that data remains a valued corporate asset. Join a dynamic team where your insights will influence key business decisions and contribute to operational efficiency, all while maintaining the highest standards of data security and documentation.

Qualifications

• Experience with advanced analytics and fraud detection tools.
• Strong background in machine learning and data-driven models.

Responsibilities

• Extract value from business data using advanced analytics methods.
• Analyze fraud trends and provide actionable recommendations.

Skills

Advanced analytics methods

Fraud prevention and detection

Machine learning

Deep learning

Artificial intelligence

Data visualization

Data security

Data-driven decision making

Education

SAS Certified Professional

Tools

SAS

Fraud Guard

Job description

1. Use advanced analytics methods to extract value from business data.

2. Manage the fraud prevention and detection rules in all fraud tools including but not limited to Fraud Guard EFMS SAS VI SAS VA VRM & FRM.

3. Analyze fraud trends on a periodic basis and provide recommendations to FRM management to implement new fraud prevention & detection controls.

4. Create periodic dashboards and presentations for senior management;

5. Perform large-scale experimentation and build data-driven models to answer business questions.

6. Conduct research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.

7. Determine requirements that will be used to train and evolve deep learning models and algorithms.

8. Articulate a vision and roadmap for the exploitation of data as a valued corporate asset.

9. Influence FRM teams through presentation of data-based recommendations.

10. Evangelize best practices to analytics and FRM teams.

11. Assemble large complex data sets that meet functional/nonfunctional business requirements.

12. Identify, design, and implement internal process improvements: automating manual processes, optimizing analytics delivery, redesigning infrastructure for greater scalability, etc.

13. Build analytics tools that utilize the data to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

14. Work with stakeholders including the FRM and FMU teams to assist with analytics-related technical issues and support their data infrastructure needs.

15. Work with data and analytics experts to strive for greater functionality in data systems.

16. Ensure that all data science related work meets data security requirements.

17. Ensure all processes of the analytics section of FRM are documented and maintained as an SOP.

18. Maintain relevant documentation to enable peers and other teams to benefit from data science use cases implemented.

SAS Certified Professional

Email your CV to: Applicants need to send their updated CV mentioning in the Subject line as SUBJECT: Applied Position name Job code (use the job code given in the JD)
JOB CODE: KAZDS0109S1