Financial Crime Analytics Officer - Remote

About the Role

We are seeking a highly motivated Financial Crime Analytics Officer to join our team remotely. In this role, you will develop and enhance data-driven solutions to detect and prevent fraudulent activities and financial crime. You will collaborate with cross-functional teams to design scalable models and actionable insights that protect our customers and the business.

What You'll Do

• Develop, implement, and optimize data-driven models for fraud detection and prevention, including ATO, APP fraud, and money mule accounts.
• Analyze large datasets to identify suspicious patterns, anomalies, and emerging fraud typologies.
• Collaborate with stakeholders to translate business needs into analytical solutions.
• Build and maintain dashboards, reports, and KPIs to monitor fraud trends and model performance.
• Continuously improve detection strategies, balancing fraud risk and false positives.
• Support investigations by providing data insights and analytical support.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Document and maintain up-to-date documentation of processes, methodologies, and solutions.

Requirements

• Minimum 2 years of experience in fraud prevention and/or AML within a bank, fintech, or payment services company.
• Strong educational background, BS/MS in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Proficiency in SQL and at least one programming language such as Python and/or R.
• Experience working with large datasets and building analytical or predictive models.
• Knowledge of financial crime typologies (e.g., phishing, account takeover, money mule account).
• Excellent communication skills, with the ability to explain complex concepts to non-technical audiences.
• Team-oriented with strong collaboration skills.
• Strong problem-solving mindset with the ability to work independently and proactively.

Nice to Have

• Experience with machine learning techniques applied to fraud detection.
• Familiarity with real-time transaction monitoring systems.
• Understanding of web traffic and RESTful APIs.
• Knowledge of AML/CTF and Fraud regulations.
• Experience with data visualization tools (e.g., Tableau, Power BI).

What We Offer

• Competitive salary and benefits package.
• Flexible working environment with no dress code.
• Opportunity for professional growth and skill development.
• Work in a multicultural team with a strong emphasis on collaboration.
• Remote work flexibility to balance your personal and professional life.