Financial Intelligence Analyst leveraging data analytics to inform national security decisions. Collaborate with clients to provide insights into illicit finance risks and analytical recommendations.
About the role
- Risk Intelligence Analyst safeguarding clients from fraud at a leading fintech firm. Utilizing advanced BI tools and collaborating across departments for effective fraud detection and analysis.
Responsibilities
- Monitoring and optimization of approval, decline, and return ratio in all Nuvei Acquirers.
- Conduct thorough investigations of the suspected fraudulent activities and collaborate with relevant teams to resolve issues.
- Coordinate with other team members and the Risk Intelligence Analysts manager on data collection, analyses, and synthesis of information.
- Design and maintain databases and data systems necessary for the day-to-day operations.
- Collaborates with the team company’s, departments, and management goals and solutions, prepares complex presentations, and assists with multiple projects, safety practices, and deadlines assigned by the Risk Intelligence Analysts manager and VP Risk Management.
- Works closely with Risk Management, IT, Compliance, and other departments to understand their needs and ensure cohesive and effective data driven analyses, fraud prevention measures and reporting to achieve set goals.
- Communicates findings and reccomendations to merchants as needed.
- Regular review/evaluation of data analysis practices, strategies, implemented fraud detection models and BI processes to best identify trends and patterns and opportunities to improve efficiency and effectiveness.
- Assists the Risk Intelligence Analysts manager with procedures maintenance and implementation of best practices to minimize loss to the company due to chargeback or fraud issues, technical or system communication problems.
- Be actively engaged in learning and finding relevant insights about industry trends, best practices, and emerging technologies related to fraud detection, data optimization and analytics.
- Other tasks may be assigned as needed.
Requirements
- Bachelor's degree in data science, computer science, statistics, mathematics, finance and economics, or a related field. Advanced degree preferred.
- 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, Qlik, Google Data Studio, etc.) and data analysis software (SQL, Python, R, etc.).
- Experience with CRM tools (SalesForce precisely).
- Superior Excel and strong PowerPoint skills.
- Excellent analytical and problem-solving skills, with the ability to interpret complex data sets to extract actionable insights.
- Strong understanding of fraud detection methodologies and prevention strategies.
- Proficiency in database management and data visualization techniques.
- 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.
- Proficient English.
Benefits
- A challenging job in a fast-developing, international company.
- A friendly work environment where you can thrive and develop your skills.
- Career advancement possibilities.
- Competitive remuneration package.
- Additional Health insurance incl. Dentist.
- Fully covered MultiSport card.
- Food vouchers.
- Employee discounts card, Seminars and conference tickets, Playroom, and other additional perks.
Job title
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Degree requirement
Tech skills
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