Software Engineer, Fraud

Summary

Join Whatnot, the leading livestream shopping platform, and become a foundational member of our remote fraud engineering team. Design, develop, and deploy scalable fraud detection and prevention systems. Proactively monitor system impacts on users and ensure benefits outweigh costs. Build event-driven architectures for real-time responses to high-risk behavior. Contribute throughout the software development lifecycle, from ideation to deployment. Drive initiatives across multiple product areas and communicate findings to leadership and product teams. We are seeking intellectually curious, entrepreneurial individuals with a proven track record of success.

Requirements

• 4+ years of total software engineering experience
• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience
• 2+ years of software engineering experience building for consumer-scale loads
• 1+ years of experience writing production code in Python
• Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds fraud prevention systems can create
• Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality
• Relentlessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them
• Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster
• Professionalism around collaborating in a remote working environment and well tested reproducible work
• Above average documentation and communication skills

Responsibilities

• Design new production algorithms and systems to prevent systemic threats and better protect buyers, sellers, and Whatnot
• Proactively monitor the potential negative impacts of these systems on good users and ensure that the benefits of these systems continue to outweigh the costs
• Build event-driven architectures that allow us to react to high-risk user behavior in near real time
• Contribute across the entire software development process: ideation, opportunity sizing, prototyping, load testing, deployment, and alerting
• Drive initiatives across multiple product surfaces and communicate findings with leadership and product teams using dashboards, notebooks, and/or documents where appropriate

Preferred Qualifications

• 1+ years of experience developing fraud detection & prevention systems
• Explicit data science or machine-learning experience

Benefits

• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
• Home office setup allowance
• Monthly allowance for cell phone and internet
• Care benefits
• Monthly allowance on both food and wellness
• Annual allowance towards Childcare
• Lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Monthly allowance to dogfood the app
• Parental Leave16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence