Data Analyst, Fraud & Risk

Nuvei

3h • Remote

About The Position

Data Analyst – Risk & Fraud US Remote
Remote
The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow.
Meet Nuvei, the Canadian fintech company accelerating the business of clients around the world. Nuvei's modular, flexible and scalable technology allows leading companies to accept next-gen payments, offer all payout options and benefit from card issuing, banking, risk and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 50 markets, 150 currencies and 700 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally with one integration.
At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!
Your Mission
We are looking for a Data Analyst to join our fast-growing Risk & Fraud team. Reporting to our VP Risk & Fraud Product, you will be supporting the team on identifying, preventing, and mitigating fraud using data to tell stories and influence internal and external stakeholders.

Requirements

• Excellent analytical and problem-solving skills, with the ability to interpret complex data sets to extract actionable insights.
• Proven experience and knowledge (3+ years) in a fraud prevention role and data analysis, preferably within the fintech or e-commerce sectors.
• Strong experience with BI tools (Tableau, Power BI, etc.) and data analysis tools and languages (SQL, Python, R, etc.).
• Strong understanding of fraud detection methodologies and prevention strategies.
• Excellent communication skills, both written and verbal, with the ability to clearly present complex information around findings and recommendations to senior management, technical and non-technical audiences.
• Ability to maintain multiple projects simultaneously.
• High attention to detail and ability to work in a fast-paced environment.
• Detail-oriented mindset with a focus on accuracy and quality of analysis.
• English (written and spoken) is the language used most of the time, as work colleagues, clients, and strategic suppliers are geographically dispersed.

Nice To Haves

• Bachelor's degree in data science, computer science, statistics, mathematics, finance and economics, or a related field. Advanced degree preferred.

Responsibilities

• Monitoring and analysis of transaction data to optimize traffic acceptance rates and detect suspicious activities and potential fraud.
• Development and implementation of fraud detection models and algorithms to identify emerging fraud trends.
• Utilize visualization tools (such as Tableau, Power BI, etc.) to create comprehensive dashboards and reports that provide insights into fraud patterns and transactions processing trends.
• Communicate actionable insights, findings, recommendations and strategies to the team, senior management or other stakeholders through clear and concise reports and presentations, based on data analysis findings and interpretation, to enhance payment flows and fraud prevention strategies.
• Stay up to date with the latest data analysis and fraud prevention techniques and technologies, and industry best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees