Description
- Use data from the largest real-time fraud detection platform on the planet to craft solutions with data analysis, statistical modeling, and supervised machine learning. This role has the potential to cause the most immediate real-world impact in the form of increased profits, lower authentication friction, and reduced credential abuse.You’ll leverage a real-time platform analyzing billions of transactions per month for our Fortune 500 customers in Financial Services, Insurance, e-Commerce, and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it.
- You’ll be continually collaborating with internal services and engineering teams, customer-facing account teams, and external business leaders and risk managers. The data driven prototypes, reports and models you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.
Responsibilities
- Direct and execute multiple medium to large analytic projects along with rest of the stakeholders in the services, engineering & products team
- Build prototypes to demonstrate innovative data driven product ideas
- Assist in monitoring and maintaining global fraud detection policies, models & reports
- Collaborate with the internal teams to fully understand business requirements and desired business outcomes
- Contribute to the development of the team's analytical skills and business knowledge
- Be the face of data in the organization and promote
Data/Technical qualifications
- 3+ years of analytical experience and graduate degree in Quantitative field such as Statistics, Mathematics, Computer Science, Economics, or equivalent experience preferred
- Demonstrated hands on expertise with Hadoop (Imapala/Hive)/SQL & Python
- Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis, etc
- Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
All your information will be kept confidential according to EEO guidelines.
