Fraud Data Analyst
Tel Aviv, Israel - Full Time
Jasper is a fast-growing fintech that’s disrupting the financial services space for all the right reasons—and we’re just getting started. Our mission: To harness technology to redesign the credit experience, make financial services more accessible to everyone, and provide customers with better tools to stay financially healthy.
How we got started. We couldn’t find a credit card that could meet our needs, so we decided to create our own—and we’ve been innovating ever since! Financial services should be accessible to everyone and serve customers’ best interests. We can and will do better.
Who we are. Our team spans several continents, with members from eight different national origins, speaking 11 languages altogether. We thrive on transparent communication and a focus on data and results.
Why we love what we do. Moving mountains is easier with a shared mission and teammates you genuinely like! We work hard, have fun, and treat one another (and our customers) the way we would want to be treated.
Our values. Fairness, respect, and inclusion are at the core of everything we do. That’s why we designed a proprietary underwriting model that allows us to offer credit cards even to applicants without an established credit history, and a business model that is not based on getting customers into more debt.
If you love technology, not just for its own sake, but as a means to drive social change, come work with us!
About the role
Our Credit Assessment (Risk) Team is currently looking to add a Fraud Analyst to its team in the TLV HQ Office. Exceptional candidates will have demonstrated ability to analyze and solve complex fraud scenarios, finding excitement in what others see as a challenge. Here at Jasper, we love creative, outside-the-box thinkers!
Here are some of the things you will do
Prevent fraud and analyze fraudulent activity
Research our database (using SQL, Python and other tools) for fraud risk trends and footprints
Develop automatic decisions rules engine, while applying advanced fraud risk methodologies
Work closely with other Risk teams - Data Science and Risk Operations
Interact with internal teams and third-parties in a fast-paced environment
Learn to assess businesses-strength and identify potential fraud risks, and make real-time decisions
Analyze data from multiple sources to identify discrepancies and what, if any, remedies can eliminate suspicion and maintain compliance.
Write reports and document evidence, findings, and recommendations.
What you will bring to the team
2-3 years of experience with a data driven analysis for fraud prevention.
Behavioral Fraud/Cyber prevention and detection background.
Bachelor’s Degree in Economics, Statistics, Engineering, Computer Science or similar.
Vast SQL experience with complex queries as well as advanced Excel skills
Ability to communicate the results of analyses.
Code writing capability in additional programming language (Python, R, Java etc)
Highly motivated, thinking outside the box and attention to details.
Excellent spoken and written English
Data visualizations experience (such as Tableau, MicroStrategy or any other visualization tool) – An advantage
Familiarity with underwriting loans, financial statements, tax documents is a plus - An advantage
Why work with us?
Flexible working hours
High levels of autonomy
It's early here - you can help define our culture and ways of working
Endless opportunities to grow, learn, and take on stretch initiatives
A culture that values unique perspectives and unconventional ideas