The process typically begins with a recruiter screen to confirm domain alignment in fraud, payments risk, or credit-related modeling, followed by a hiring manager interview focused on end-to-end model ownership and decisioning tradeoffs. Candidates report a technical screen is common, which may include SQL for event and transaction data, statistical reasoning, and discussion of feature engineering for card and spend behaviors. A take-home style analysis or a live modeling case is sometimes used to evaluate how candidates frame fraud problems, set evaluation metrics, and prevent leakage, often with an expectation of clear written results. Virtual onsite loops often include 3 to 5 interviews across data science, risk operations partners, and engineering, emphasizing experimentation, monitoring, and how models ship into production decision systems. Final rounds frequently include a leadership interview assessing how candidates influence policy and process, with overall timelines commonly around 3 to 6 weeks depending on case review and panel scheduling.
Design a fraud detection approach for corporate card transactions where labels are delayed and adversaries adapt. How would candidates define targets, training data windows, and evaluation metrics?
Given a table of transactions, authorizations, chargebacks, and merchant data, write SQL to compute fraud rate and false positive rate by merchant category and cohort, and explain how candidates would handle delayed outcomes.
A new rule reduces fraud losses but increases declines for legitimate spend, causing customer complaints. How would candidates decide whether to keep, tune, or roll back the change?
Tell about a time candidates deployed a model that initially looked strong offline but underperformed in production. What monitoring and feedback loops did candidates implement afterward?
How do candidates partner with Risk Operations and Product when model decisions affect user experience, and what principles guide when to favor automation versus manual review?
Customer Success Manager (Mid-Market)
virtual
· Dificultad 3/5
The process typically starts with a recruiter screen focused on customer-facing experience, segment fit (SMB vs mid-market), and Ramp product familiarity, often followed within a few days by a hiring manager call that tests account ownership and renewal and expansion instincts. Candidates report a practical case or mock customer call is common, where the interviewer plays a finance leader evaluating policy controls, card program rollout, reimbursements, and bill pay workflows. A cross-functional panel often follows, usually 2 to 4 back-to-back video interviews with partners such as Sales, Support, Implementation, or Product, centered on handling escalations and driving adoption across key Ramp surfaces like expense policies and approval flows. Some candidates report a written exercise or email role-play to evaluate concise customer communication and executive updates. Final steps commonly include a leadership conversation and reference checks, with end-to-end timelines frequently landing in the 2 to 4 week range depending on scheduling.
Walk through how candidates would run a 60-day onboarding plan for a mid-market customer migrating from another spend tool, including policy setup, card rollout, and change management with Finance and employees.
Describe a time candidates owned a renewal that was at risk due to a product gap or an outage. How did candidates manage stakeholders, set expectations, and land the outcome?
In a mock call, a controller says expenses are out of control and managers are bypassing approvals. How would candidates configure controls and coach the customer to enforce policy using Ramp workflows?
How do candidates measure and drive adoption for a spend platform, and which usage signals would candidates track for card usage, expense compliance, reimbursements, and bill pay?
Ramp positions itself around saving customers time and money. What would candidates do when a customer wants a custom process that increases operational complexity but does not improve control or savings?
Risk Operations Manager
virtual
· Dificultad 4/5
Recruiter screen, hiring manager video, case study on a fraud pattern, behavioral, and final with director. Risk Ops at Ramp scales fraud and credit decisioning.
Walk me through investigating a complex fraud incident.
Tell me about a risk decision that affected a key customer.
Describe partnering with engineering on a risk-rule rollout.
How do you balance false positives with credit losses?