The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.
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
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
Top Skills
Excel
Python
SQL
Braviant Holdings Chicago, Illinois, USA Office
Our company is located in the heart of the downtown with great access to public transportation (both Metra & CTA), coffee shops, and restaurants.
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