What are the responsibilities and job description for the AML and Financial Crimes Engineer position at Apolis?
Job Details
Location: Phoenix, AZ - 3 days onsite
Start Date: ASAP
Rate: $60/hr
We are seeking a strong technical candidate who can gather and integrate the right data. Experience in IBM OpenPages, Archer, and legacy IDN NLE data is a plus but not mandatory. The role involves integrating customer-level transaction data.
Key Responsibilities:
- Utilize IBM OpenPages, an AI-driven, highly scalable governance, risk, and compliance (GRC) platform, to centralize siloed risk management functions and support enterprise risk management efforts.
- Streamline compliance processes with IBM OpenPages, ensuring efficient adherence to regulatory requirements and aiding in the detection and prevention of money laundering activities.
- Employ Archer to manage governance, risk, and compliance (GRC) processes, offering a centralized solution for handling policies, controls, risks, assessments, and efficiencies across various business functions.
- Integrate Archer with external transaction monitoring systems to provide a comprehensive view of compliance risk management, facilitating accurate reporting to regulators and supporting informed, risk-based business decisions.
- Enhance AML operations by integrating NLE, improving detection accuracy and helping financial institutions respond to risks more effectively.
NLE Data Support for AML Efforts:
- Transaction Monitoring: Use NLP to analyze vast amounts of unstructured text from transaction descriptions, financial reports, and communications to identify patterns indicating suspicious activity.
- Customer Due Diligence: Apply NLP tools to process documents for know-your-customer (KYC) processes, enabling automated extraction of relevant data and verification of information.
- Watchlist Filtering: Utilize NLE to scan large datasets, such as sanctions lists or politically exposed persons (PEP) lists, flagging entities with potential connections to money laundering.
- Enhanced Suspicious Activity Reports: Assist in generating Suspicious Activity Reports (SARs) by analyzing data and summarizing suspicious transactions, aiding compliance teams in further investigations.
- Pattern Recognition and Anomaly Detection: Deploy NLE algorithms to detect unusual behaviors by processing text and transactional data, identifying and flagging potential cases of money laundering.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60
