Job Summary

We are seeking a detail-oriented and analytical professional to support Anti-Financial Crime (AFC) data analytics, surveillance model validation, testing, and system enhancements.

This role plays an important part in ensuring the accuracy, efficiency, and regulatory compliance of AFC monitoring systems while supporting modernization initiatives, including AI/ML-enabled capabilities.

Mandatory Skill-set

Bachelor's degree in Data Science, Statistics, Finance, Business Administration, Computer Science, or a related discipline;
Minimum of 5 years experience in the financial services industry;
Hands-on experience with AML systems, transaction monitoring, and Anti-Financial Crime compliance;
Experience in User Acceptance Testing (UAT), system testing, and defect management;
Experience in data analytics, reporting, and project support or coordination
Proficiency in Microsoft Excel and SQL;
Experience with data visualization tools such as Power BI or Qlik;
Strong analytical and critical thinking skills;

Desired Skill-set

Practical knowledge of automation technologies (e.g., Robotic Process Automation (RPA);
Familiarity with AI/ML applications in compliance or financial crime detection.

Responsibilities

Conduct data analysis to identify patterns, trends, anomalies, and potential risks related to money laundering, fraud, and sanctions;
Perform data extraction, validation, and analysis using SQL, Excel, or other analytics tools;
Support data analytics activities, including alert performance reviews, anomaly identification, and quality assurance of dashboards and reports;
Support monitoring and validation of AFC surveillance models and Core Engine systems, ensuring data accuracy and performance tracking;
Support multi-system AML testing across Core Engine platforms, primarily through User Acceptance Testing (UAT);
Document testing results, defects, and analytical findings in accordance with established standards and procedures;
Support project delivery activities across testing, implementation, and post-go-live issue management;
Coordinate with business users, technology teams, and project stakeholders to ensure timely resolution of system issues;

Should you be interested in this career opportunity, please send in your updated resume to [HIDDEN TEXT] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE's website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Compliance Analytics and Testing

Compliance Analytics and Testing