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6 дней назад

Financial Crimes Compliance Data Analyst (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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