- Design and build a simulator capable of mimicking financial activities of various adversaries (e.g., money laundering, terrorist financing, money mule, fraud and scam, etc.).
- Develop and implement algorithms to generate synthetic data, including mock customer profiles, accounts, and transaction histories.
- Incorporate approaches to learn from limited existing labelled data to inform synthetic data generation.
- Implement functionality to generate data based on predefined financial crime typologies, rules, and stress-testing scenarios.
- Ensure the simulated data captures suspicious patterns through interconnected counterparty information, reflecting realistic network behaviors.
- Work within a Python-based development environment, utilizing PySpark for data processing tasks.
- Collaborate with the financial crime analytics team to understand requirements and refine simulation logic.
- Strong analytical and problem-solving skills.
- Ability to work independently and deliver results within a defined timeframe.
- Excellent communication and collaboration skills.
About the Company
U3 Infotech is a Technology Solutions, Managed Services, and Talent Management Solutions company with over 2 decades of experience in the APAC region since 2002. Our clients include Fortune 100, MNCs, Leading Regional Organisations, Government organizations, and Startups. We work with clients across Banking, Insurance, Bio-Science, Pharmaceutical, Healthcare, Engineering, Product, and Supply Chain domains.
We have been growing rapidly through value creation, solving complex problems, and addressing the opportunities of our clients' businesses. We differentiate ourselves through our deep commitment at all levels, entrepreneurial mindset, outcome-driven approach, and financial resources.
If you are interested in this role, send us your CV raghunath@u3infotech.com
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Cheers! Stay Safe & Healthy.
Thanks and Regards,
Raghunath
Senior Recruitment Consultant
Talent Acquisition Team
Mobile
: +65 69800635
Email
: raghunath@u3infotech.com
133 Cecil Street, Keck Seng Tower, #14-3,
Singapore 069535