Our company is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide, we believe that everyone should have the opportunity to prosper.
We never stop working to find new, innovative ways to make that possible.
Responsibilities:
Perform hands-on data analysis and modeling with big data sets in the security, risk and fraud domains
Build machine learning models (especially unsupervised) to help safeguard our digital property
Gain familiarity with existing API security methods
Gather data, perform statistical analysis, draw conclusions on the impact of your optimizations, and communicate results to peers and leaders
Lead and innovate AI projects in the Security, Fraud domain and Risk, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production
Requirements: Passionate about data, digging in to get insights and interesting cross-linking
5+ years Data Science experience, preferably with Fraud, Security or Credit Risk Detection solutions, or equivalent experience as a Security Researcher with some experience in Data Science and Machine Learning
NLP and sequence-based models - advantage
BSc, MSc, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research or equivalent experience
Expertise in Data Mining algorithms and Statistical Modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, sequential pattern discovery, or text mining
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java
המשרה מיועדת לנשים ולגברים כאחד.