Software Engineer, Risk

Ramp Ramp · Fintech · New York, NY · Engineering

Backend engineer to own the technical roadmap for limit management, portfolio optimization, and agentic workflows. Build robust systems, automate complex operational tasks, and maintain high-frequency controls for Ramp's FinTech products.

What you'd actually do

  1. Architect scalable, stateful systems for automated limit management to optimize Ramp’s charge card portfolio.
  2. Envision and build the next generation of agents and tools that automate manual Risk decisions and increase operational efficiency.
  3. Develop high-volume, low-latency Risk controls to support Ramp’s expansion into new products, customer segments, and geographies.
  4. Design and build real-time decisioning systems spanning the entirety of a business’ tenure on Ramp.
  5. Partner closely with analysts, data scientists and product to translate risk strategies into reliable software.

Skills

Required

  • 2+ years of backend engineering experience
  • Proficiency in Python or a comparable backend language
  • Experience working with distributed systems and async frameworks
  • Proficiency with converting abstract business problems into robust data models and technical specs
  • Experience building or operating systems with strict auditability, observability, and correctness guarantees
  • High ownership mentality
  • Ability to work closely with non-engineering partners (Risk Strategy, Ops, Sales) to create impact

Nice to have

  • Experience leveraging AI/LLMs for development or for internal workflows
  • Interest in financial optimization problems
  • Willingness to learn and move fast while holding the bar on correctness
  • Defensive programming aptitude
  • Experience using feature stores, rule engines and ML platforms in production

What the JD emphasized

  • strict auditability
  • observability
  • correctness guarantees
  • high ownership mentality
  • AI/LLMs for development or for internal workflows

Other signals

  • agentic workflows
  • risk controls
  • real-time decisioning