Analyst Web3 Jobs in North America

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Job Position Company Posted Location Salary Tags

TipLink

New York, NY, United States

$76k - $84k

Gsrmarkets

New York, NY, United States

$150k - $200k

Gsrmarkets

New York, NY, United States

$50k - $100k

Anchorage Digital

United States

$67k - $75k

Anchorage Digital

United States

$67k - $75k

Paypal

New York, NY, United States

$45k - $72k

Kmkp

United States

$79k - $79k

MoonPay

New York, NY, United States

$83k - $94k

Fmr

Boston, MA, United States

$76k - $89k

Tradias GmbH

New York, NY, United States

$63k - $81k

Zinnia

United States

$90k - $110k

Selby Jennings

Chicago, IL, United States

$150k - $175k

Tether

Mexico

$75k - $84k

Kmkp

United States

$76k - $84k

Kraken

United States

$27k - $67k

TipLink
$76k - $84k estimated
New York, NY, USA
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About the Company

TipLink is a company merging the world of crypto and payments. Crypto rails can be cheaper, faster, and more global than traditional finance, enabling new products that couldn’t otherwise exist. TipLink is leading the charge with innovation at this intersection. The company is backed by investors including Sequoia, Multicoin, Circle, Solana Ventures and more.

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 TipLink's 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.