Fraud Intelligence Analyst, New Grad
SentiLink
Location
United States; Austin, TX; San Francisco, CA
Employment Type
Full time
Location Type
On-site
Department
Fraud Intelligence
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transaction with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 list every year since 2023. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
Role:
The Fraud Intelligence Team (FIT) Analyst at SentiLink plays a critical role in the company’s mission to stop synthetic and identity fraud. This role serves as an entry point for high-potential, curious, and analytical individuals to develop a deep understanding of fraud detection, identity data, and investigative workflows, with clear pathways to specialize or transition into other functions within the company.
FIT Analysts are responsible for reviewing and labeling applications, investigating anomalies, and collaborating with cross-functional teams to enhance the team’s operational efficiency and impact on fraud detection.
This is an in-office role based in Austin, TX or the San Francisco Bay Area, CA
Responsibilities:
Heavy queue-based work to review
Review and label applications (e.g., synthetic fraud, ID theft, first party fraud)
Collaborate with Product by surfacing insights from manual case reviews to improve fraud detection models and validate new data sources
Identify relevant cases to support new fraud trends or assist with cross-functional efforts (i.e. Sales,)
Develop a deep understanding of our specific fraud domain to provide a detailed explanation of the potential fraud scenario.
Use strong verbal and written communication skills to provide in-depth case reports to internal and external stakeholders.
Ad hoc projects
Requirements:
Recent college graduate or less than 2 years of experience in fraud
Bachelor’s Degree in a technical field
Demonstrated intellectual curiosity and a strong willingness to learn
Exceptional analytical and problem-solving skills with attention to detail
Highly motivated and enthusiastic with proactiveness
Proficiency in SQL or Python is highly encouraged
Candidates must be legally authorized to work in the United States and reside in the Country
Located in, or willing to relocate to, the San Francisco Bay Area, CA or Austin, TX office (5 days in-office requirement)
Compensation:
-
$100,000/year - $120,000/year + equity + benefits
Perks:
Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!
Corporate Values:
Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart