6 дней назад
Financial Crimes Compliance Data Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Financial Crimes Compliance Data Analyst (AI): Developing and evaluating AI-powered transaction monitoring systems for money laundering, fraud, and sanctions detection with an accent on AML/CFT analytics, risk scoring, and anomaly identification. Focus on analyzing high-risk customer behavior, testing machine learning models, designing experiments, and building dashboards that improve detection accuracy and customer outcomes.
Location: Onsite in the Manila office, Mandaluyong City, Philippines
Company
is a licensed fintech company providing international money transfer and banking products for immigrants and their families.
What you will do
- Oversee and refine AI-driven transaction monitoring systems using vendor and in-house platforms.
- Analyze high-risk transactions, customer behavior, trends, patterns, and anomalies related to money laundering, fraud, terrorist financing, and sanctions violations.
- Collaborate with Identity & Trust teams to test and fine-tune machine learning models, improving detection accuracy and reducing false positives.
- Ensure transaction monitoring practices align with AML/CFT and sanctions regulations.
- Build metrics and dashboards to evaluate system effectiveness and understand customer experience.
- Develop analytical frameworks, design experiments, interpret A/B tests, perform ad hoc analyses, and communicate recommendations to compliance, legal, operations, and business stakeholders.
Requirements
- 4+ years of experience in AML/CFT transaction monitoring analytics, fraud or risk analytics, or data analysis.
- Expert-level SQL and proficiency with Python or R for data analysis.
- Experience with AML/CFT detection strategies, risk scoring, related metrics, and fintech financial-crime typologies.
- Experience with Tableau or similar data visualization tools.
- Bachelor’s or advanced degree in statistics, mathematics, economics, computer science, or another quantitative field.
- Strong communication skills and experience working in a compliance-driven environment while supporting a positive customer experience.
Nice to have
- Experience with blockchain analysis.
- Experience with unsupervised or semi-supervised anomaly detection models.
Culture & Benefits
- Data-driven environment focused on customer outcomes and financial-crime prevention.
- Cross-functional collaboration across compliance, legal, Identity & Trust, and operations.
- Emphasis on curiosity, detail orientation, integrity, knowledge sharing, and continuous improvement.
- Opportunity to contribute to international payments and banking products used by millions of customers.
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