Senior Fraud Risk Analyst

Braviant Holdings

Fraud Risk Analyst analyzing fraud patterns and developing detection strategies for a tech-enabled lending platform. Collaborating with cross-functional teams to improve fraud identification and reduce losses.

Posted 5/12/2026full-timeDallas • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Analyze application and early performance data to identify fraud patterns, including synthetic identity, first-party fraud, and credit abuse.
Develop and implement fraud detection strategies, including rules, thresholds, and decisioning logic.
Monitor early performance (e.g., FPD, zero-pay accounts) to identify potential fraud-driven losses.
Distinguish fraud risk vs credit risk, improving approval quality and reducing early loss.
Evaluate and optimize third-party fraud tools and data sources (e.g., identity verification, device intelligence, consortium data).
Design and execute tests to evaluate fraud strategies and improve detection performance.
Work with Product and Engineering to implement fraud rules and ensure accurate execution in production systems.
Investigate emerging fraud trends and proactively recommend changes to controls and policies.
Collaborate with Operations or servicing teams to improve fraud identification post-origination.
Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.

Requirements

What you’ll need

Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field
4–6 years of experience in fraud, risk, or analytics, preferably in fintech, lending, or financial services
Strong analytical skills with experience using SQL, Python, Excel, or similar tools to analyze large datasets
Understanding of key fraud types, including synthetic identity and first-party fraud and familiarity with fraud tools (i.e. identity verification, device fingerprinting, consortium data)
Experience identifying fraud patterns or working with fraud detection strategies (i.e. credit washing etc.)
Ability to translate analysis into clear actions (rules, controls, strategy changes) and exposure to A/B testing, experimentation frameworks, or champion/challenger strategies
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
Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment (preferred)
Hands-on experience applying AI to fraud management (preferred)

Benefits

Comp & perks

Comprehensive healthcare including medical, dental, and vision coverage
Generous paid time off, including PTO, sick time, and 13 company holidays
401(k) with company contribution
Participation in annual discretionary bonus plan
Regular team and company gatherings

ATS Keywords

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Hard Skills & Tools

SQLPythonExcelfraud detection strategiesdata analysisA/B testingexperimentation frameworksdecisioning logicdata optimizationfraud pattern identification

Soft Skills

analytical skillsproblem-solvingcommunicationcollaborationstrategic thinkingadaptabilitynarrative developmentproactive recommendationcross-functional teamworkpassion for learning