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FinCrime Systems & Analytics Manager
4-8 years
Gurgaon / Gurugram, Bangalore / Bengaluru
1 vacancy
FinCrime Systems & Analytics Manager
Aspire FT
posted 22d ago
Job Role Insights
Key skills for the job
Job Description
- Leverage data to deliver data-driven transformation - e.g. deploying new technologies and controls and optimizing existing controls
- Leverage machine learning techniques to improve the accuracy and effectiveness of anti-financial crime systems and identify new financial crime trends
- Analyze operational data to identify trends, areas for improvement, and implement data-driven systems and process enhancements
- Drive wider FinCrime Operations strategy and execution: Support the Director of AML Operations and Team Leads with longer-term strategic planning and execution of major change initiatives - e.g. vendor integrations, global expansion, localization of systems and procedures
- Improve operational processes and systems:
- Own the effectiveness testing of critical anti-financial crime systems and controls
- Support Team Leads in refining existing, and defining new, Standard Operating Procedures (SOPs) for KYB, Transaction Monitoring, and QA teams to ensure consistent, efficient, and compliant execution of operations
- Collaborate cross-functionally: Work closely with Compliance, Product & Tech, AML Ops Team Leads, and external vendors to deliver leading-edge anti-financial crime systems and controls
- 6 years experience in AML, Compliance, or Operations roles in a FinTech or regulated financial institution - and other relevant roles in complex and fast-paced environments - e.g. Consulting, Strategy & Execution, Change Management
- Strong understanding of KYB, Fraud, Transaction Monitoring, and QA functions
- Experience of delivering data-driven transformations in FinTech or regulated financial institutions
- Proven ability to influence senior stakeholders and drive cross-functional initiatives
- Proficiency with relevant AML vendors (e.g. Onfido, LexisNexis, AI-native vendors) and data software and techniques (e.g. Tableau, PowerBI, SQL, Python)
- Excellent analytical skills, including the ability to leverage large and complex datasets to make data-driven decisions
- Strong track record of delivering change programs in complex, fast-paced environments
- Experience with AI-native tools for transaction monitoring or fraud detection is a plus
- Experience supporting global operations and/or scaling processes in multiple markets is a plus
- Relevant certifications e.g. CAMS (Certified Anti-Money Laundering Specialist) are a plus
Employment Type: Full Time, Permanent
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