Fraud Operations Specialist

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the Role

As a member of Ramp's Fraud Operations team, you will play a pivotal role in safeguarding the company and its customers against fraudulent activities. This position involves analyzing new account applications, monetary and non-monetary account activity to identify and mitigate risks associated with first-party and third-party fraud.

We are seeking a detail-oriented professional who is adept at applying fraud detection techniques and leveraging data sources and tools to develop logical courses of action. In addition to technical acumen, this role requires strong interpersonal and communication skills to interact effectively cross-functionally and with customers, external financial institutions, and law enforcement agencies. Ideal candidates are self-starters who are energized by ambiguity and love creating clarity.

What You'll Do

Analyze new account applications to detect potential fraud patterns, including identity theft, synthetic identities, and other high-risk behaviors.

Evaluate transactional activity, identifying anomalies and irregularities indicative of fraudulent behavior.

Thoroughly investigate alerts of first-party and third-party fraud, providing comprehensive documentation of findings.

Investigate and facilitate customer card disputes, ensuring cases are resolved accurately and within network timelines.

Use AI tools and automation to streamline investigations, and help develop and improve the processes and tooling behind them.

Collaborate with internal teams, such as Credit Risk, Compliance, and Customer Support, to ensure timely resolution of fraud-related issues.

Communicate directly with customers to verify account activity, resolve disputes, and gather necessary documentation during investigations.

Liaise with external stakeholders, including financial institutions and law enforcement, to support investigations and facilitate recovery efforts when necessary.

Stay updated on emerging fraud trends, industry best practices, and regulatory requirements to enhance fraud prevention and detection measures.

Perform root cause analyses, document control breakdowns, and work with the strategy and engineering teams to improve fraud controls.

Document procedures and proactively identify opportunities for operational process improvement.

Work Schedule Requirements

Fraud doesn't operate on a standard 9-to-5 schedule, and neither does this role. Candidates must have the flexibility to work nights, weekends, and holidays as part of a rotating schedule to ensure 24/7 fraud monitoring and response. This is essential to maintaining Ramp’s commitment to protecting its customers and minimizing risk around the clock.

What You Need

Minimum 2 years of experience in fraud prevention or investigations

Experience within consumer/corporate/small business cards, payments, invoices, lending, or related industries

Excellent collaboration, written and verbal communication skills

Nice-to-Haves

Experience with NACHA rules and regulations

Experience with card network rules and regulations, including dispute and chargeback processes

Experience with funds recovery processes, including hold harmless letters and ACH recalls

Experience in high-growth startups

Experience integrating AI into your daily work

Knowledge of SQL or Python

Benefits available to all full-time Ramp employees (Global)

Flexible PTO

Centralized home-office equipment ordering

Health and wellness stipend

Budget for intra-office travel

Weekly coffee stipend

United States

100% medical, dental & vision insurance coverage for you, with partial coverage for dependents

One Medical annual membership

401(k), including employer match on contributions made while employed by Ramp

Fertility HRA (up to $10,000 per year)

Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay

Pet insurance

In-office perks: lunch, snacks, drinks, and more

Relocation expense coverage to NYC or SF (if needed)

Canada

Group medical, dental, and vision coverage through Sun Life

Life, AD&D, and disability coverage

Fertility drug coverage (up to $4,000 lifetime)

Group Retirement Plan with employer match (RRSP + DPSP)

Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

Employee Assistance Program and virtual care through Lumino Health

United Kingdom

Private medical insurance through Freedom Elite

Virtual GP and at-home care via eMed x Livi

Workplace pension through Penfold, with salary sacrifice option

Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

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