SentiLink, the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. SentiLink proudly serves a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 by Naftali Harris and Max Blumenfeld and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others.

Role:

The Fraud Intelligence Team (FIT) Analyst plays a central role in how SentiLink understands and combats fraud in production.

This role is designed for high-slope individuals who want to build a deep understanding of fraud, product, and how a fraud company actually operates. The pace is high, the exposure is broad, and the expectation is that you actively lean into the work to accelerate your own development.

FIT sits at the intersection of fraud investigation, product development, and revenue. The work directly shapes how our models evolve, how we explain fraud to customers, and how we win and expand deals.

Strong performers use this role to build real operating context and then take on increasing ownership, either within FIT or in adjacent functions such as Product, Data Science, Solutions, or GTM.

Responsibilities:

Investigate and label fraud cases at scale, developing strong judgment on ambiguous and edge scenarios

Translate frontline casework into actionable insights for Product and Data Science (feature gaps, model behavior, new data validation)

Identify and quantify emerging fraud patterns, including business impact (e.g., loss avoided, attack vectors)

Support revenue workflows by turning fraud analysis into clear narratives for partners

Participate in live cross-functional workflows (Product, Data Science, Solutions, GTM) and contribute where useful

Build deep domain expertise through high-volume repetition, feedback, and continuous refinement of judgment

Own targeted analyses or projects that improve detection, workflows, or insight generation

Act as a bridge between frontline fraud signals and business decisions, ensuring insights are translated into action

Requirements:

2-3 years of experience in fraud, risk, or a related analytical field

Strong analytical judgment and attention to detail

Demonstrated willingness to take on high volume, high-ambiguity work and improve quickly through repetition

Clear evidence of learning velocity (e.g., taking on new domains, tools, or responsibilities over time)

Strong written and verbal communication skills

Comfortable operating in an environment with high exposure and few rigid boundaries

SQL or Python experience strongly preferred

What we look for:

We look for people who treat this role as a platform, not a job.

You are willing to do the work required to build real context (volume, repetition, detail)

You actively seek exposure to how the business operates beyond your immediate tasks

You improve quickly with feedback and use it to sharpen judgment

You take ownership early, rather than waiting for tightly defined scope

You are motivated by the opportunity to grow into broader roles within the company