Senior Credit Analyst
Bounce
New York, NY · $100k–$120k a year · Posted October 30, 2026
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How AI is used in this kind of work
Among credit analysts, AI is already used for some of the tasks. Measured exposure for credit analysts: 17% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
Senior Credit Analyst
Operations
New York City
Intermediate
Full-time
Description Join Bounce AI's Operations team as a Senior Risk Analyst, where you will play a crucial role in identifying and managing potential risks to ensure the company's stability and growth. Responsibilities:
Analyze financial and operational data to identify potential risks.
Develop and implement risk management strategies.
Monitor and report on risk levels and compliance with policies.
Collaborate with cross-functional teams to assess risk impact.
Prepare comprehensive risk assessment reports for management.
Conduct regular risk audits and provide recommendations for improvement.
About Us
Bounce is a fintech startup revolutionizing debt recovery for consumers and creditors with our best-in-class product. By leveraging the power of AI and automation, we create user-friendly experiences that drive positive outcomes for all parties involved.
With a team based in Israel and New York, we have been growing rapidly. We support hundreds of thousands of consumers on their journey to financial resilience and build partnerships with top creditors and fintech companies.
How You’ll Spend Your Time
Acquisition Underwriting
Evaluate incoming debt-sale opportunities by building loan-level and cohort-level collection and cash-flow forecasts and recommending bid pricing, expressed in cents on the dollar.
Stratify portfolios by product type, balance band, delinquency/age, state (statute-of-limitations exposure), and account attributes to understand what drives value.
Run seller data due diligence: completeness and fill rates, balance reconciliation to the tape, documentation/media availability, chain of title, bankruptcy/deceased scrubs, and prior placement history.
Build return models — IRR, MOIC, NPV/discounting, hurdle achievement — and stress-test the assumptions that matter most.
Translate underwriting assumptions into explicit, monitorable post-purchase expectations so we can later measure actual vs. underwritten.
Portfolio Surveillance
Track actual collection curves against underwritten curves by batch and vintage.
Maintain IRR/MOIC tracking against hurdle targets; flag underperformance early.
Partner with Data Science on estimated remaining collections (ERC) recalibration.
Diagnose return gaps by connecting them to operational drivers (outreach cadence, right-party contact, conversion, break/keep rates) and population factors (bankruptcy, bad contact data).
Produce recurring portfolio-risk reporting for leadership.
Building the Function
Help establish the risk playbook: underwriting standards, pricing methodology, monitoring cadence, and escalation thresholds.
Codify reusable analyses and write documentation for clarity and replicability.
Work with leadership to define risk appetite and the guardrails around it.
Requirements
At least 5 years of experience in risk analysis or a related field.
Bachelor's degree in Finance, Business Administration, or a related field.
Strong analytical and problem-solving skills.
Proficiency in risk management software and tools.
Excellent written and verbal communication skills.
Ability to work collaboratively in a team environment.
Experience in the technology or AI industry (Preferred).
What We Offer
Competitive salary range of $100k-$120k with eligibility for a discretionary bonus
Comprehensive benefits package
401K + 5% Match
Competitive PTO plan
Collaborative and innovative hybrid working environment
Opportunity to grow in your career with a growing company
Bounce is an equal opportunity employer that is dedicated to diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.