Paygilant is a fast growing innovative fraud detection and prevention company for Fintech, Digital Banking and payments. Our cutting-edge technology leverages advanced analytics, machine learning, and behavioral biometrics to protect our clients and their customers from fraudulent activities in real-time.

If you're passionate about leveraging data and technology to combat fraud and protect consumers in the digital economy, Join us in our mission to make the world a safer place for financial transactions. Apply now!

Job Description

As a Fraud & Product Analyst at Paygilant, you will play a critical role in safeguarding our clients' financial transactions and enhancing the effectiveness of our fraud detection and prevention products. You will be responsible for analyzing transaction data, identifying patterns and trends indicative of fraudulent behavior, and collaborating with cross-functional teams to optimize our products.

Responsibilities

• Fraud Analysis: Conduct thorough analysis of transactional data to detect and investigate fraudulent activities, including but not limited to new account fraud, account takeover, and payment fraud.
• Pattern Recognition: Utilize advanced analytical techniques to identify emerging fraud trends and patterns, and develop strategies to mitigate risks.
• Product Enhancement: Collaborate with the product development team to enhance existing fraud detection and prevention solutions, providing insights and recommendations based on your analysis of fraud trends and customer feedback.
• Data Interpretation: Interpret complex data sets to extract actionable insights and communicate findings to both technical and non-technical stakeholders effectively.
• Risk Assessment: Assess the effectiveness of current fraud prevention measures and recommend adjustments or new features to stay ahead of evolving fraud tactics.
• Documentation: Maintain detailed documentation of fraud analysis methodologies, findings, and recommendations to support ongoing product development efforts and regulatory compliance.
• Cross-Functional Collaboration: Work closely with colleagues across departments, including product management, engineering, and customer success, to ensure alignment on fraud detection strategies and product roadmap priorities.
• Continuous Learning: Stay informed about the latest developments in fraud detection technologies, industry best practices, and regulatory requirements to continually improve our products and processes.

Qualifications

• Bachelor's degree in related field. Master's degree preferred.
• 3+ years of experience in fraud analysis, risk management, or related field, preferably in the financial services or cybersecurity industry.
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
• Strong analytical and problem-solving skills, with the ability to think critically and make data-driven decisions.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
• Experience with machine learning techniques and statistical modeling is a plus.
• English - Native or bilingual proficiency. Spanish - Native/Professional working proficiency (An advantage)