Fraud & Verification Analytics Lead

Job description

Please note: while we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time.

Who We Are:

Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, Inc is a leading provider

of tech- enabled credit products which combine breakthrough technology and cutting-edge machine

learning to transform how people access credit online. The Company’s next-generation approach to lending

reduces credit barriers and creates a Path to Prime® helping millions of underbanked consumers build credit

history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been

named multiple times to the Inc. 5000 list of fastest growing private companies and has been

recognized as a Best Place to Work.

Position Summary:

Reporting to the Chief Growth & Strategy Officer, the Fraud Analytics Lead role is a compelling

opportunity for a data-driven professional with strong expertise to design and execute fraud and risk

mitigation strategies. The successful candidate will leverage advanced analytics to optimize business

operations and develop proactive fraud prevention solutions. This role requires a combination of

critical thinking, technical expertise, and the ability to collaborate with partners across Operations,

Credit, Technology and Compliance to identify, mitigate, and solve complex business challenges.

What you’ll be doing:

• Monitor applications, transactions, and customer activity to detect and prevent fraud and identity risks such as synthetic identities, account takeovers, and first-party fraud.
• Apply machine learning models and statistical techniques to enhance fraud detection and prevention capabilities.
• Access and manage fraud and verification tools and data providers to ensure effectiveness and ROI
• Develop and maintain dashboards to track key fraud and risk performance metrics
• Stay current on industry best practices, regulatory requirements, and emerging technologies in online-lending fraud prevention
• Partner with Operations, Credit, Technology and Compliance to align fraud strategies with enterprise objectives

What you’ll bring:

• Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
• 4-6 years of experience in fraud analytics, data science, or a related field within FinTech or online lending space.
• Advanced proficiency in Python for programming, data analysis, and predictive modeling
• Proficiency in SQL, Excel and experience with data visualization tools
• Knowledge of optimization, stochastic processes, experimental design and A/B testing
• Strong knowledge of various fraud typologies impacting online financial services, relevant regulatory requirements and compliance framework
• Passion for keeping your skills up to date and exploring new methodologies
• The ability to distill complex problems and analysis into a clear and concise narrative

$130,000 - $160,000 a year

Benefits and Perks

• Medical benefits paid by employer/employee split of ⁸⁰⁄₂₀

• Dental and Vision covered at zero cost to you for employee only coverage

• PTO, Sick and Floating Holidays

• 14 Company Holidays

• Participation in the Company Profits Interest Units long term incentive plan

• Remote work environment

• Internet stipend

• Team and company events/get togethers

Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.