Financial Crime Data Analyst

2 hours ago

Bonifacio Global Metro Manila, Philippines AXOS BUSINESS CENTER CORP. Full time ₱38,000 - ₱73,000 per year

Imagine a world where banking is not just a transaction but a transformative experience. Welcome to Axos Business Center We're on a mission to redefine the financial landscape with innovation, creativity, and customer-centric solutions at the core of everything we do. #Banking Evolved.

Ready to dive into a new chapter in your career journey and make your mark this year? We need visionary minds like yours Join our team and become part of a dynamic force that's reshaping how people interact with their finances.

Your next big opportunity is just a click away

We are looking for a Financial Crime Data Analyst (AML Systems) to help with implementing our new AML system and build market surveillance alerts.

If you have strong knowledge in financial services systems, financial crimes and BSA / AML as well as market abuse typologies, have the ability to dissect and analyze large amounts of unstructured information to discern high-risk transactions indicative of Money Laundering/Terrorist Financing activity, and if you are passionate about automation, AI, and data-driven problem-solving, this is the role for you

Responsibilities:

  • Collaborate with stakeholders to elicit, analyze, and document business requirements for new initiatives, enhancements, and system integrations
  • Develop and maintain data models, dashboards, and reports to monitor key performance indicators (KPIs) and track project progress
  • Translate complex business requirements into clear technical specifications
  • Communicate technical concepts effectively to non-technical stakeholders
  • Design and implement technological and workflow solutions to strengthen AML controls
  • Continuously improve processes across supported functions
  • Analyze large datasets to identify patterns, root causes, and opportunities for optimization
  • Work with structured and unstructured data, including transforming unstructured data into usable formats
  • Stay ahead of emerging technologies, including AI, RAG (Retrieval-Augmented Generation), and agentic workflows
  • Participate and prepare with the guidance of the AML Officer for regulatory examinations and audits

Qualifications:

  • Bachelor's degree or 5+ years' data analytics
  • Ability to bridge business and technical requirements
  • Experience with data analysis and handling large datasets
  • Familiarity with VS Code, GitHub Copilot, Cursor, Replit, and similar tools
  • Knowledge of Microsoft SQL Server and Microsoft Azure offerings
  • Experience structuring unstructured data
  • A portfolio or link to web applications (e.g., Replit projects) preferred
  • Data Analytics (e.g., Google Analytics) preferred and Product Ownership (e.g., Certified Scrum Product Owner) preferred
  • Certifications in SQL or Python is a plus

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