Job Closed
This listing is no longer active.
Financially empowering the next generation of consumers.
Fraud Data Analyst
Location
Brazil
Posted
117 days ago
Salary
0
Seniority
Mid Level
Job Description
Fraud Data Analyst
Sezzle
• Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity. • Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns. • Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings. • Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior. • Develop and implement fraud prevention rules, strategies, and controls. • Stay up-to-date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention.
Job Requirements
- Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field).
- Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role.
- Minimum of two (2) years of experience working with SQL and Python.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.).
- Experience with fraud detection tools and platforms is a plus.
- Excellent written and verbal communication skills, with the ability to clearly articulate complex issues.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong organizational skills and the ability to manage multiple priorities effectively.
- High level of integrity and a commitment to ethical practices
Benefits
- At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Define the company's official metrics • Model entities and business rules in the semantic layer • Implement and maintain Cube.js (or a similar tool) • Ensure different consumers use the same definitions • Design and organize transformations in the data warehouse • Ensure data quality, traceability, and consistency • Organize versioning of models and metrics • Work closely with Engineering and Infrastructure to ensure stability • Provide metrics through a semantic API • Prepare datasets for BI • Support integration of the semantic layer into the product • Conduct exploratory analyses • Identify patterns and opportunities • Experiment with AI applications on structured data • Support strategic decisions with quantitative analyses
Data Analyst
State of North CarolinaThe State of North Carolina is a southeastern state with 100 counties and is the ninth most populous state in the U.S. North Carolina's moderate climate, rich c
• This is a technical position responsible for ensuring the accuracy, completeness, and timeliness of Transitions to Community Living (TCL) program data • The employee serves as a key member of the TCL team • Responsible for enabling data-driven decision-making and program improvement through the production and dissemination of insightful reports and analyses • Manage the development and maintenance of a comprehensive data collection system • Provide training and support to stakeholders on utilizing TCL data and dashboards effectively
Online Adjunct Faculty – Data Analytics
SNHU CareersAt SNHU, we do life-changing work — and not just for our students. Find out how your life can change, too.
• Engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course • Support students by providing instruction, feedback, and experiential and application-based learning • Prioritize student engagement and encourage participation, collaboration, and strong faculty-student relationships • Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials • Evaluate student work and provide individualized, constructive feedback • Facilitate student interaction through active participation in online discussions
Marketing Data Analyst
CSICSI is a leading technology partner delivering innovative solutions and expert service.
• Analyze raw data from various sources including sales, customer engagement, website traffic, social media platforms and other marketing/sales technologies. • Interpret data to identify trends, patterns, and insights relevant to marketing strategies and objectives. • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations. • Develop and maintain dashboards, reports, and visualizations to communicate key findings and metrics. • Assist in the implementation of data collection methods, ensuring accuracy and consistency of data. • Conduct ad-hoc analysis to address specific marketing questions or challenges. • Stay updated on industry trends, best practices, and emerging technologies in data analytics and marketing. • Participate in meetings and presentations to share insights, findings, and recommendations with stakeholders. • Support Director of Marketing Ops & Demand Gen in data modeling, segmentation, and predictive analytics projects. • Contribute to the continuous improvement of data analysis processes and methodologies within the marketing team.




