Fraud & Identity Enthusiast at SentiLink

, , United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

230000.0

Posted On

18 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud detection, Identity verification, Risk management, Data analysis, SQL, Python, Analytical thinking, Problem solving, Product management, Operations, Go-to-market strategy, Communication, Cross-functional collaboration, Financial services, Risk assessment

Industry

Software Development

Description

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: SentiLink hires deeply curious, high-agency individuals who are obsessed with fraud, identity, and how systems are exploited. Rather than hiring for a single predefined role, this position is part of a shared hiring pipeline for candidates who bring strong domain interest in fraud and identity, along with the ability to apply that knowledge across product, analytics, operations, and go-to-market. During the recruiting process, we will work with you to identify where you can have the greatest impact based on your strengths, interests, and business needs. Examples of roles you may be considered for include: Fraud Intelligence Solutions Analytics Product (fraud & identity-focused) Product GTM AI-driven fraud detection & process design Customer-facing roles (e.g., working directly with clients to solve fraud challenges) You will join the team aligned with your role and report directly into that function, with clear ownership and accountability from day one. This approach allows us to match individuals who deeply understand fraud and identity to the highest-impact problems across the company. Responsibilities: Your specific responsibilities will depend on the role you are aligned to, but you will be expected to develop a deep understanding of fraud and identity systems and apply that knowledge to drive real-world outcomes. Example areas of ownership include: Investigating fraud patterns, attack vectors, and emerging threats Translating fraud insights into product features, detection strategies, or operational improvements Owning metrics related to fraud performance, model outcomes, and system effectiveness Partnering with Product and Engineering to build and improve identity and risk systems Designing workflows and processes to detect, prevent, and mitigate fraud Working with customers to understand their fraud challenges and implement solutions Staying ahead of industry trends in fraud, identity, and financial crime Requirements: We are less focused on a specific background and more focused on individuals who demonstrate strong interest and aptitude in fraud and identity. Background 2-6+ years of experience in a relevant field (e.g., fraud, risk, fintech, consulting, analytics, product, or operations) Experience in financial services or fraud-related domains is a plus, but not required Core Traits Strong curiosity about how fraud happens and how systems are exploited Analytical and structured thinker with the ability to break down complex problems High ownership: you take initiative and drive work forward independently Comfortable working in ambiguous, fast-moving environments Communication & Collaboration Strong communication skills, with the ability to explain complex concepts clearly Ability to work cross-functionally with technical and non-technical teams Technical Skills Proficiency with spreadsheets and data analysis tools SQL and/or Python is a strong plus Must be legally authorized to work in the United States and based in the United States Compensation: $130,000/year - $230,000/year + equity + benefits Note: This salary range is inclusive of several career levels and roles, and the actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, and qualifications. 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

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

You will investigate fraud patterns, attack vectors, and emerging threats while translating these insights into product features and operational improvements. Additionally, you will own metrics related to fraud performance and partner with cross-functional teams to build effective identity and risk systems.