Full-Time
Data Journalist
Technical Content Marketing
Posted on 9/27/2025
SentiLink
51-200 employees
ML-powered fraud detection at application
Compensation Overview
$150k - $180k/yr
No H1B Sponsorship
Remote in USA
Remote
Candidates must be legally authorized to work in the United States and must live in the United States.
 Journalism (1) |
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- 5-7+ years experience in technical content, data visualization, writing page copy, ad copy, emails, and blogs.
- Demonstrated ability to translate complex data and market trends into clear, engaging content.
- Lateral thinking, proactive, resourceful, creative, resilience, and a “can do” attitude
- Communicative with high emotional intelligence to operate in a collaborative environment and present decisions confidently
- Proficiency and familiarity with financial services, risk management, and/or fraud mitigation is a plus
- Familiarity with SQL is a plus
- Candidates must be legally authorized to work in the United States and must live in the United States
- Responsible for all landing pages (copy, A/B testing, web development to design the page and implement interactive elements would be a big plus)
- Responsible for conversion copy (emails, ad copy, etc.) and the company LinkedIn page (regular posts but also data-based visualizations)
- Own SentiLink’s short-form marketing content, including landing page and ad copy, and ensuring it aligns in content and tone with longer-form content and with other aspects of SentiLink's go-to-market motion.
- Partner with DemandGen, Product Marketing, and Events to amplify SentiLink's marketing efforts and ensure consistency across all channels.
- Edit and provide feedback on longer-form SentiLink content including whitepapers, videos, etc.
- Contribute to content strategy, brainstorm new ideas, and assist with broader marketing needs as they arise.
- Own data visualization in reports, blogs etc.
- Ability to create compelling data-based blog stories and reports
- Ability to conduct SEO research and write blog posts that meet SentiLink's standards for depth, accuracy, and intellectual rigor
- Bachelors or Masters Degree in Journalism
SentiLink provides fraud-detection solutions for identity verification in the fintech and financial services space. It uses proprietary machine learning models paired with human risk analysts who review cases and refine models with licensed and proprietary data, enabling real-time insights and fraud prevention at the point of application. The products are configurable and easily integrated, designed to work across different fraud types and lending use cases, including credit cards, consumer, auto, and business loans, while preserving a smooth customer experience. What sets SentiLink apart is the combination of machine learning with ongoing human expertise, access to rich data sources, and a flexible, integration-focused platform that adapts to evolving fraud tactics. The goal is to help financial institutions approve legitimate customers and offer competitive products while minimizing fraud losses and identity theft.
Company Size
51-200
Company Stage
Series B
Total Funding
$84M
Headquarters
San Francisco, California
Founded
2017
Simplify's Take
What believers are saying
- Kathleen Waid appointed CRO in 2026 with 20+ years from FICO and NeuroID to expand partnerships.
- FedRAMP Ready status achieved May 1, 2025, opens government contracts against benefit fraud.
- Scienaptic AI partnership December 18 boosts approvals via AI underwriting integration.
What critics are saying
- Experian integrates NeuroID's biometrics, undercutting SentiLink's synthetic detection within 6-12 months.
- Persona consolidates synthetic and first-party fraud scores via single API, eroding fintech market share.
- First-party fraud definition lacks consensus, degrading SentiLink FPF Score performance and causing churn.
What makes SentiLink unique
- SentiLink pioneered Synthetic Fraud Score integrating eCBSV for real-time detection.
- CIP Match and Watchlists launched October 14, 2025, fuses fraud intelligence with compliance.
- Facets provides feature-specific attributes from proprietary consortium data since September 18.
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Benefits
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off
Home Office Stipend
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -1%2 year growth
↑ 1%What SentiLink Corp learned about First-Party Fraud at on:fraud. March 30, 2026 At SentiLink's on:fraud fraud intelligence conference in March, leaders from major financial institutions compared notes on first-party fraud - what it is, why it's hard to stop, and what's working. A few themes came up repeatedly: The definition problem The line between first-party fraud and credit risk can be blurry. Panelists agreed that the crux of the matter is intent - does the applicant intend to pay back the loan, for example? - which is impossible to determine for certain. Moreover, intent doesn't always define action; some customers genuinely may intend to pay but wind up unable to. This makes first-party fraud particularly hard for fraud analysts to tackle. Combined with the fact that individual organizations are targeting different first-party fraud behaviors and have varying levels of risk thresholds, "bad" outcomes exist on a spectrum. These nuances mean that both broadly in the marketplace, and often even within the context of a single financial institution (FI), there isn't a clear-cut definition of precisely what FPF is. That, in turn, makes external and consortium data less useful, since different institutions may define FPF differently and thus may apply different labels. Adding to the challenge, FPF can also be easy to confuse with other fraud MOs and approaches such as scams or assumed identity abuse (AIA). Risky behavior associated with an account could indicate the account owner is engaged in first-party fraud, but they could also be the victim of a scam or coercion, or the victim of a convincing identity thief. Additional challenges to addressing FPF Attendees at on:fraud also agreed that, aside from the challenges associated with defining and labeling FPF itself, there are also a number of institutional and systemic realities that contribute to making the first-party fraud problem difficult to solve. First, there's the obvious one: unlike identity theft, there is no victim to report a crime in the case of first-party fraud. If the FI itself is unable to detect a case of FPF using its own insights, its losses will likely compound. Institutionally, one common problem is data and data access. Internal data that can help flag FPF may be siloed and not easily accessible to fraud and risk teams. Acquiring external data is often required, but that can present financial and implementation challenges, and is still susceptible to problems stemming from the lack of a consensus definition of precisely what constitutes FPF. External data often comes via some sort of consortium model that also requires data sharing with other FIs, which presents its own set of risks. For example, mistakenly labeling a customer a first-party fraudster could have long-ranging implications for their financial life if that label is shared and other FIs act on it. Another problem is that fraudsters can move much faster than most financial institutions. Fraudsters can move as fast as they like, and there's a robust and mature marketplace of how-to materials available to teach would-be fraudsters the ropes, and they share intelligence through channels that would be very difficult for FIs to monitor - sometimes on major social media networks, but also in the chat lobbies of multiplayer video games, for example. Institutions can't monitor all of those channels and they can't react instantly to new trends and fraud patterns; they must adhere to internal policies and regulatory frameworks and they often move at the speed of bureaucracy. That's an especially big problem in an era where first-party fraud moves at the speed of TikTok trends. And those TikTok trends are another problem, attendees noted; the perpetrators often aren't aware they're even committing fraud - these MOs are often presented as "glitches," "methods," or "hacks." How FIs are addressing FPF While FPF is far from a solved problem, attendees did feel that progress is being made. First-party synthetic fraud - in which a fraudster applies with their own identity but a fake SSN - is largely a solved problem thanks to tools like SentiLink's Synthetic Fraud Score and authoritative step-up treatments like eCBSV. They also shared some broad strategies and techniques that they've found to be effective at combating other types of FPF at their institutions, including: * Carefully monitoring account behavior in the first six months after account opening - risky signals during this period are often an early indicator of first-party fraud risk. * Leveraging third-party tools such as SentiLink that provide risk scores based on attributes that present patterns associated with elevated risk for first party fraud. * Stepping up suspected first-party fraudsters to additional processes such as the 4506-C form (although this annoys legitimate consumers). At the end of the day, though, attendees agreed that manual review is often needed, particularly for the tricky middle-of-the-road cases. There was also a feeling among attendees that some level of public education may be needed, perhaps on the part of FIs and perhaps on the part of the government, to combat the increasing prevalence of FPF from consumers following viral trends who may not understand they're committing fraud. Flag FPF risk at the point of application - explore SentiLink's First-Party Fraud Score. Content. Learn how SentiLink Corp can help. Schedule a demo with a fraud expert and evaluate its solutions.
SentiLink, a provider of identity verification and fraud detection solutions, has appointed Kathleen Waid as chief revenue officer. Waid will lead the company's revenue organisation and drive growth by expanding fraud and identity solutions whilst deepening partner relationships. Waid brings over 20 years of experience scaling enterprise software companies in fraud prevention and identity verification. She has held senior revenue leadership positions at Prove Identity, NeuroID (acquired by Experian), Fiserv and Point Predictive. She began her career at HNC Software, which became FICO. SentiLink, founded in 2017, currently serves over 400 partners, including 11 of the top 15 US banks. The San Francisco-based company has raised $85 million from investors including Andreessen Horowitz and Craft Ventures.
SentiLink launches first major CIP solution that puts Fraud Intelligence at the center of compliance. SAN FRANCISCO, Oct. 14, 2025 (GLOBE NEWSWIRE) - SentiLink, the leading provider of identity verification and fraud prevention solutions, today announced the first major Customer Identification Program (CIP) solution that utilizes automation built on top of deep human research and expertise. The result is the CIP Match and Watchlists solution that delivers transparent, actionable signals that enable compliance teams to meet regulatory requirements, stay ahead of rapidly evolving fraud tactics, and drive revenue growth by approving more legitimate customers. From Telegram and Facebook groups to automated AI-driven bot-run marketplaces, fraudsters are openly selling identity packages that include Social Security numbers, driver's licenses, and even school transcripts. These sophisticated bundles are built to defeat a financial institution's CIP controls-turning a compliance cornerstone into a vulnerability. SentiLink pioneered fraud prevention by building the industry's deepest understanding of identity-from synthetic fraud and identity theft detection to first-party fraud prevention. The release of SentiLink's CIP Match and Watchlists solution marks a significant expansion of the company's product suite, applying fraud-first intelligence to compliance requirements that fraudsters have learned to exploit. Powered by SentiLink's deep understanding of consumer identity and fraud, the new CIP Match and Watchlists solution empowers financial institutions to verify more identities using data from SentiLink's network and a set of sources that includes credit bureaus, telecommunications, utilities, and public records. It transforms what is often seen as a regulatory obligation into a source of actionable insight and real business value. Unlike traditional "check-the-box" providers, SentiLink leverages its experience manually reviewing hundreds of thousands of cases to build a system that can handle fraudulent, ambiguous and complex cases. "Financial institutions have long treated CIP as a compliance requirement, but SentiLink has approached it as a fraud intelligence opportunity," said Jim Mortensen, Strategic Advisor at Datos Insights. "By bringing the same depth of insight that drives their fraud solutions into the CIP process, institutions can move beyond just checking a regulatory box and build stronger defenses against evolving identity threats." "Our deep understanding of fraud and identity is what allowed us to build a differentiated CIP solution," said Naftali Harris, co-founder and CEO of SentiLink. "We understand the nuances of nicknames, typos, address matching - how real people use and misuse PII. That insight lets us deliver a product that helps financial institutions stay compliant while approving as many legitimate applicants as possible." The SentiLink Difference: Fraud Intelligence Meets Compliance SentiLink's CIP solution goes beyond traditional compliance tools by leveraging insights from application data across SentiLink's network and other sources. SentiLink's approach combines human expertise with machine learning intelligence, creating a system that evolves in response to emerging fraud patterns while meeting compliance requirements. This results in a compliance solution that is grounded in unmatched data depth, human expertise, and authoritative sources. CIP Match and Watchlists deliver significant new capabilities and benefits, including: * Enhanced Match Fidelity: Granular matching of identity components (first name, last name, individual address fields, as well as the option to include phone number) enables customers to verify more legitimate identities without increasing risk exposure. * Intelligent Fuzzy Scoring: A pre-defined 0-1 fuzzy score differentiates between legitimate variations (nickname matches) and potential fraud indicators (using an SSN that belongs to someone else), with adjustable risk tolerance levels. * Automated CIP Decisions: Built-in scorecard orchestration delivers CIP decisions and recommendations that maximize acceptance rates while maintaining compliance and security standards. * In-House OFAC, PEP and Adverse Media Screening: Advanced fuzzy match logic for sanctions list screening with enhanced support for managing false positives and negatives. * Seamless Integration: Available through SentiLink's Application Risk endpoint, eliminating the need for separate integrations and enabling partners to access all products through a single API, with the capability to escalate complex cases to SentiLink's team of experts for deeper analysis. * Dashboard: An intuitive interface that allows BSA/AML officers and Compliance Analysts to inspect individual cases and understand the factors behind decision outcomes. The solution also addresses hard-to-verify populations that are often underserved by traditional CIP approaches, including individuals with ITINs, those with thin credit files, young adults, and immigrants-enabling financial institutions to expand access while maintaining security. About SentiLink SentiLink, the leading provider of innovative identity verification and fraud prevention solutions, empowers organizations to accurately identify customers and detect synthetic fraud, identity theft, and hard-to-detect forms of first party fraud. Its solutions leverage a deep understanding of identity and risk informed by machine learning models and insights from a team of the industry's best risk analysts. * 11 of the 15 largest U.S. banks * 6 of the top 10 credit unions * 3 of the top 5 telecoms * Hundreds of fintechs, lenders and government organizations. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others.
CIP Match and Watchlists: A smarter approach to onboarding customers. At SentiLink, SentiLink Corp has built its reputation on helping financial institutions detect and prevent synthetic fraud and identity theft. Now, SentiLink Corp is launching CIP Match and Watchlists to give its partners a better way to meet their compliance requirements and onboard more legitimate customers. Powered by its deep knowledge of consumer identity, SentiLink now provides more complete coverage across the identity verification stage of your onboarding funnel. Managing risk and approval rates with SentiLink During onboarding, financial institutions must carefully balance four critical factors: * Compliance risk: Ensuring adherence to Customer Identification Program (CIP) rules established by the Patriot Act and Bank Secrecy Act (BSA) * Fraud losses: Identifying and blocking fraudulent applications, including stolen and synthetic identities, to prevent financial losses * Approval rates: Maximizing the number of legitimate customers approved without unnecessary drop-off and rejections * Operational costs: Reducing expenses associated with manual review and document verification while maintaining compliance and stopping fraud When compliance and fraud risk assessments operate separately, inefficiencies arise. The inevitable result is unnecessary customer friction and too much manual review. CIP Match and Watchlists, combined with SentiLink's fraud detection capabilities, helps its partners optimize approval rates while mitigating risk and reducing costs. In real-world data tests this year, adding SentiLink gave partners an average +8.6% increase in approval rates (without increasing fraud losses). What's included in CIP Match and Watchlists? Comprehensive coverage CIP Match leverages a variety of data sources, including authoritative government data and SentiLink first-party data, to provide comprehensive coverage. In particular, SentiLink CIP offers strong coverage of applicants with ITINs, applicants with limited credit history, and younger applicants - all demographics that traditional CIP solutions struggle with. Flexible configuration SentiLink CIP Match doesn't just return a simple yes/no, SentiLink Corp return scores from 0-1 for each PII element, allowing partners to configure matching rules, fuzzy matching logic, and risk thresholds tailored to their specific business needs. By breaking down Personally Identifiable Information (PII) components, such as first name, last name, and address, CIP Match improves decision accuracy - reducing false positives and negatives while increasing approvals for legitimate customers. In-house watchlists for fewer false positives SentiLink Watchlists leverages in-house watchlists for compliance checks against OFAC, PEP and Adverse Media lists, rather than relying on a white-labeled solution. This approach gives its partners greater configuration control and better support, allowing them to fine-tune their screening criteria with adjustable fuzzy name matching and birth date radius parameters. As many official watchlist entries are vague (for example, some entries include a range of years rather than a specific birthdate), false positives are common - most watchlist "hits" aren't really hits, they're just added friction for legitimate customers who happen to share (for example) a name with a bad actor. By allowing partners to optimize the matching settings used for these lists, SentiLink Watchlists helps institutions reduce both false positives and false negatives while ensuring regulatory compliance. Intelligent and customizable application routing SentiLink CIP Match enables financial institutions to easily route applications for manual review or step-up verification when necessary. By leveraging SentiLink's advanced identity analysis, partners can enforce red flag rules efficiently, ensuring compliance and reducing risk without introducing unnecessary friction for trustworthy applicants. Seamless integration for CIP and fraud detection By consolidating fraud detection and CIP checks into a single API endpoint, SentiLink simplifies integration, allowing partners to coordinate fraud and CIP risk assessments seamlessly. This integration eliminates redundancies, optimizes onboarding decisions, and reduces operational costs. Intuitive review UI and case escalation for tricky manual reviews In real-world data tests, SentiLink CIP Match and Watchlists has significantly reduced the number of manual reviews for partners, but some amount of manual review will always be necessary. SentiLink's intuitive manual review dashboard brings together relevant information in one place, allowing for more efficient evaluation of applications. SentiLink partners may also escalate tricky cases to SentiLink's Fraud Intelligence Team to get a second opinion. A better path to onboarding more of the right customers SentiLink's mission has always been to help businesses approve more legitimate customers while keeping bad actors out. With CIP Match and Watchlists, SentiLink provides a streamlined solution that balances compliance, fraud prevention, and customer experience - helping its partners onboard more of the right customers with confidence. Interested in learning more? Contact SentiLink Corp today to start optimizing your onboarding funnel. Learn how SentiLink Corp can help. Schedule a demo with a fraud expert and evaluate its solutions.
Yardi has partnered with fraud detection leader SentiLink to protect property managers and their communities.