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Ramp

Risk Operations Specialist, Onboarding

Ramp is hiring a Risk Operations Specialist, Onboarding for a remote role open to applicants in United States. It pays $100k-$155k a year and Level rates it ; you can apply on Ramp.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • This is listed as a remote role.
  • Level classes it as a junior role.
  • Ramp has 175 other open roles on Level.
  • Posted in the last few days.

AI in this role

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 Risk Strategy & Operations, you will drive operational initiatives related to underwriting, customer risk management, and fraud. This role requires an understanding of underwriting processes, fluency with data, and the ability to analyze risk vectors such as credit and fraud risks. We take our responsibility to serve our customers’ commitment to their financial health seriously, and our approach is anchored in data-driven and systematic decisions to delight our customers.

Please note: This role follows a Sunday–Thursday workweek.

What You'll Do

  • Develop and execute Ramp’s risk underwriting policy used to onboard new business to the Ramp platform across corporate credit card and bill pay products

  • Build and maintain monitoring dashboards for underwriting outcomes, processes and losses

  • Partner with product and engineering to build best in class risk tooling to increase operations efficiency

  • Research emerging underwriting and fraud trends to innovate on Ramp's decisioning systems and policies

  • Provide best in class customer experience, while managing credit and fraud risk, by effectively managing customer support requests on their application over phone and email

  • Have the ability to grow, develop and learn in a fast-paced, start-up environment

  • Identify emerging risks and use AI and automation to improve decision quality and efficiency

What You Need

  • Minimum 1-2 years of experience in Underwriting, Credit Risk Management or Fraud Risk Management

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

  • Excellent written and verbal communication skills

  • Strong background in customer support via email

  • Investigative and critical thinking skills

  • BA/BS from an accredited university

  • Ability to work weekends from Sunday - Thursday

  • Experience integrating AI into your daily work

Nice-to-Haves

  • Experience in high growth startups

  • Experience building complex financial products

  • Knowledge of SQL or Python

  • Strong background in customer support via phone

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.

Ramp Applicant Privacy Notice

How we rate this

Risk Operations Specialist, Onboarding at Ramp rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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