Six Figure Work

Risk Analyst

Fin

Company websitefin.tech (Fin, opens in new tab)

Base salary $100K  to $175K

Employer-published annual base salary, USD. Advertised base range in New York, NY

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  • LocationNew York, NY
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

About Fin

Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin.

Role Overview

We are hiring our first  Fraud/Risk Analyst to join our Risk & Compliance team . This role will focus on identifying, analyzing, and mitigating risks associated with digital asset transactions – including ACH fraud and compliance with applicable regulations like the Patriot Act and Bank Secrecy Act. This is a critical position, reporting directly to the CEO, and will require a combination of technical, analytical, and regulatory expertise to build a robust fraud detection and risk assessment framework from the ground up.

Key Responsibilities

  • Develop and implement a comprehensive risk management strategy tailored to the evolving digital asset landscape.

  • Take action to resolve automatically flagged transactions and individuals

  • File suspicious activity reports as required 

  • Monitor and analyze transaction data to detect potential fraud, suspicious activities, and emerging risk trends.

  • Utilize advanced data analysis techniques and fraud detection tools to identify anomalies and potential security threats.

  • Create and maintain risk assessment models to evaluate the financial and reputational impact of potential fraud incidents.

  • Partner with the engineering team to design and implement fraud detection systems, leveraging machine learning and predictive analytics.

  • Ensure alignment with regulatory requirements, including AML, KYC, and digital asset regulations.

  • Draft detailed reports and dashboards on risk findings, fraud incidents, and risk mitigation strategies for senior leadership and stakeholders.

  • Lead cross-functional risk assessments for new product launches, ensuring security and fraud prevention measures are integrated into product design.

  • Stay abreast of emerging risks in the digital asset space, including regulatory changes and new fraud tactics.

  • Develop incident response plans for fraud detection and participate in incident response drills to assess and enhance our risk management framework.

Qualifications

  • Bachelor's degree in Finance, Economics, Computer Science, Data Science, or related field.

  • 5+ years of experience in fraud analysis, risk management, or financial crime prevention, ideally within fintech, digital assets, or blockchain environments.

  • Demonstrated experience with fraud detection systems, transaction monitoring tools, and data analysis platforms (SQL, Python, R).

  • Strong knowledge of digital asset platforms, blockchain technology, and stablecoin ecosystems.

  • Experience with regulatory compliance, particularly regarding AML, KYC, and financial crime prevention.

  • Exceptional analytical and problem-solving skills with a data-driven approach to decision-making.

  • Strong written and verbal communication skills, with the ability to clearly articulate complex risk findings to non-technical stakeholders.

Preferred Qualifications

  • Certifications such as Certified Fraud Examiner (CFE), Certified Risk Manager (CRM), or CAMS.

  • Experience with machine learning models for fraud detection and predictive analytics.

  • Familiarity with incident response protocols and risk mitigation frameworks in financial services.

  • Prior experience in a fast-paced startup or scaling fintech environment.

Source: Fin on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($100,000) is above 0% of the 482 Sales roles in New York listed on this site; 26 others list the same floor. Their median floor is $148,850; the middle half runs from $123,813 to $179,250.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 5, 2026.

This range next to 6 other live Fin roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Fin roles with the nearest advertised base floor
RolePublished base
Risk Analyst (this listing)$100K - $175K
Account Executive, Field Sales$100K - $140K
Business Development Lead$120K - $165K
Senior Full-Stack Software Engineer$125K - $250K
Product Manager$125K - $200K
Mobile Engineer$125K - $250K
Senior Backend Software Engineer$125K - $250K

Same $100K to $400K scale as every card. All Fin roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2025-12-03
Where this pay comes from

Location as the employer wrote it: New York, NY • Remote

USD 100,000 – 175,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.