Senior Fraud Analytics Analyst at Enova
Are you fully engaged at work?
Think back to your last job. Did your work ever feel...less than challenging? Enova team members don’t have that problem. We’re regularly solving complex problems that directly impact the business and help grow our skills at the same time. When we talk to our team members, they tell us they’ve broken through personal and professional barriers thanks to the mission-driven work they’re tackling and the support from their manager and team. Where else can you level up your skills by working on fresh, interesting challenges every day? We want to celebrate your wins with you. This is the core of Enova.
About the role:
Fraud is something we encounter on a regular basis and, as a Senior Fraud Analyst, you will be one of Enova’s most valuable resources. You will develop, enhance and test the company’s rules, models and operational processes for use in determining the appropriate lending criteria and verification procedures, specifically related to preventing fraud. You may be asked to conduct ad hoc analysis using statistical and financial tools to recommend fraud prevention strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation. You will work with senior management to develop key performance indicators (KPI's) to ensure that our fraud prevention schemes are performing optimally and communicating insights through both presentations and write-ups of results and recommendations.
We're excited about you if you have:
- A Bachelor's degree, Master’s or PhD in a quantitative field
- 3-7 years of experience in analytics or related field
- 2+ years of experience using statistical and/or machine learning models focused on fraud
- Advanced programming skills in Python, R or similar language and the ability to write customized programs for meaningful data analysis
- Experience working with relational databases, such as SQL
- Knowledge of statistical/predictive modeling
About the Analytics team:
We live and breath data at Enova, and our 70+ person Analytics team is at the heart of it all. They use cutting-edge machine learning and advanced modeling techniques to drive business value in a number of different ways. Depending on the team, that could mean building a state-of-the-art credit risk model; it could mean spotting patterns in data that indicate fraud; it could mean researching a brand new type of algorithm we’ve never even used before. Whatever it is, it’ll typically be used to make real-time decisions on our website. What makes us different from Analytics teams elsewhere? We’re language agnostic here which means YOU get to pick the tool that works best for you and the analysis at hand. The team primarily uses Python, R, SAS, and SQL but if you think another tool is right for your project, go for it.
Enova is a FinTech company dedicated to using technology to help hard-working people get access to fast, trustworthy credit. To date, we’ve helped more than 5 million customers around the world. Born and raised in Chicago, our philosophy is simple, “Life’s short. Work someplace awesome.” Want to learn more? Just ask any of our almost 1,500 employees.