Fraud Analytics Associate

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our EDGE brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.

Job Summary:

NinjaHoldings is seeking an experienced fraud analytics professional to join our Risk & Analytics team. This is a critical position that will be responsible for developing and enhancing our fraud detection and prevention strategies. The candidate will specialize in analyzing fraud patterns to create or adapt prevention tactics to solve emerging fraud trends while providing a great experience to our customers. The ideal candidate is someone who is naturally inquisitive, imaginative, and passionate about fighting fraud.

Key Responsibilities:

• Establish key fraud performance metrics and develop automated reporting to monitor these KPIs
• Develop and maintain fraud detection strategies and business rules that balance fraud loss and customer experience
• Collaborate with a variety of partners within the company, such as product managers, platform engineers, compliance officers, and call center operations to identity emerging threats, collect and analyze data, and implement changes to protect the business and our customers against fraud
• Apply advanced statistical techniques, algorithms, and industry tools to develop solutions that predict and prevent fraud risk
• Build fraud risk-related variables based on trends in fraud attack vectors and insights from the data
• Identify and evaluate potential third party fraud detection products
• Lead deep-dive root cause analyses into fraud incidents
• Communicate clear and concise actionable business strategies to senior management

Requirements:

• Bachelor’s degree in a quantitative or business discipline (e.g., math, statistics, finance, economics, engineering, or other quantitative fields)
• 3+ years of relevant fraud analytics experience in the FinTech industry
• Knowledge of fraud schemes, financially motivated cybercrime trends, fraud prevention methods, and fraud detection tools
• Proficiency using SQL and working with relational databases
• Proficiency using Python to analyze complex data sets, deriving actionable insights, and taking the initiative to affect change
• Strong quantitative and problem-solving skills with keen attention to detail
• Excellent written and verbal communication skills to succinctly and accurately present analyses and convey complex ideas to all audiences

Additional Pluses, but Not Requirements:

• Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, finance, engineering, or other quantitative fields)

Benefits:

• Competitive salary and benefits package
• Flexible, remote work
• Fun, fast-paced work environment
• Dynamic start-up culture
• Ability to make an immediate impact in a growth stage company
• Convenient downtown Chicago office located in the heart of the city
• Equal opportunity employer