job description
Are you a data-driven professional passionate about safeguarding the integrity of digital banking? Monee is seeking a talented Financial Crime Compliance (FCC) Data Analyst to join our team in Singapore. In this role, you will be instrumental in bridging the gap between complex financial data and regulatory compliance, ensuring MariBank remains at the forefront of secure digital financial services.
We are looking for an analytical thinker who thrives in a fast-paced environment. While deep experience in financial crime compliance is a distinct advantage, we value technical proficiency and the ability to interpret data patterns to identify risk. You will work closely with cross-functional teams to automate reporting, refine detection models, and uphold the highest standards of financial security.
This is an excellent opportunity to accelerate your career within a dynamic, tech-forward institution where your technical skills in SQL and Python will have a direct impact on mitigating financial risk and protecting our global customer base.
Responsibility
- Develop and maintain complex SQL queries to extract data for AML (Anti-Money Laundering) and fraud monitoring.
- Utilize Python to automate manual compliance reporting and streamline data processing workflows.
- Analyze transaction data to identify suspicious patterns, trends, and potential compliance vulnerabilities.
- Collaborate with risk and technology teams to enhance existing Financial Crime detection logic and system parameters.
- Prepare comprehensive reports for internal stakeholders and regulatory bodies to ensure compliance with Singaporean financial regulations.
- Support the ongoing maintenance of compliance dashboards and data visualization tools for management review.
- Continuously evaluate and refine data models to improve the efficiency and accuracy of fraud detection systems.
Qualifications
- Bachelor’s degree in Data Science, Finance, Computer Science, Economics, or a related quantitative field.
- Proven proficiency in SQL for data manipulation and Python for data analysis and scripting.
- Strong analytical mindset with a meticulous attention to detail and process-oriented approach.
- Prior experience or a strong interest in Financial Crime Compliance, AML, or KYC processes is highly desirable.
- Excellent communication skills, with the ability to translate complex data findings into actionable business insights.
- Ability to thrive in a high-growth, agile environment and adapt quickly to shifting regulatory landscapes.
- High level of integrity and commitment to maintaining data confidentiality and security protocols.