Software Engineer, Fraud & Risk

2 Months ago • 4 Years + • Software Development & Engineering • $180,000 PA - $245,000 PA

Job Summary

Job Description

Whatnot is seeking a Software Engineer specializing in Fraud & Risk to join their team. This role involves designing and developing scalable fraud detection and prevention systems, building event-driven architectures, and contributing to the entire software development process. The engineer will proactively monitor the impact of these systems and communicate findings to leadership. The job requires designing algorithms to prevent threats, building systems to react to high-risk behavior, and driving initiatives across product areas. The role also involves collaboration and communication within a remote working environment.
Must have:
  • 4+ years of software engineering experience
  • 2+ years of experience building for consumer-scale loads
  • 1+ years of experience writing production code in Python
  • 1+ years of experience developing fraud detection & prevention systems
Good to have:
  • Business intuition and a data-driven mindset
  • Explicit data science or machine-learning experience
  • Comfortability with data warehouses and transformation tools
Perks:
  • Flexible Time off Policy and Company-wide Holidays
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
  • Care benefits
  • Retirement
  • Monthly allowance to dogfood the app
  • Parental Leave

Job Details

🚀 Join the Future of Commerce with Whatnot! 

Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together.

From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.

And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.

💻 Role

We are looking for intellectually curious, entrepreneurial individuals to become foundational members of our fraud engineering team. Bringing an intuitive understanding of abuse vectors, rigorous thinking about business tradeoffs, & the ability to engineer consumer-scale software, you will design, develop, and deploy scalable fraud detection and prevention systems across a wide variety of product surfaces. 

What you'll do:

  • 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.

👋 You

Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.

As our next Software Engineer, Fraud you should have 4+ years of total software engineering experience, plus:

  • 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.
  • 1+ years of experience developing fraud detection & prevention systems preferred.
  • Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds fraud prevention systems can create. Explicit data science or machine-learning experience is a huge plus.
  • 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.
  • Relentnessness & 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.

💰Compensation

For US-based applicants: $180,000 - $245,000/year + benefits + stock options

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options.

🎁  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 Leave
    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.

💛  EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

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