Software Developer, Ops Platform and Fraud Investigations
About The Position
The Ops Platform organization develops internal platforms that replace repetitive manual processes with AI-driven systems. These tools support key areas such as Fraud Operations, Account Operations, Financial Crimes Operations, and Retirement Services. The team works closely with product, data science, and operations partners to deliver reliable systems that improve decision-making and efficiency! As a Software Developer, you will design and build platforms that enable operational teams to investigate and resolve issues more quickly and accurately. You will work with large datasets and signals to create tooling that supports fraud investigation and other operational workflows. You will collaborate with data scientists and machine learning engineers to translate manual processes into automated systems. Your work will focus on improving system reliability, reducing operational effort, and increasing the speed at which new products and features can be supported across Robinhood’s offerings. This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
Requirements
- Experience designing and scaling distributed systems with a focus on reliability and performance
- Experience building and operating applications that use large language models or similar AI systems in production environments
- Understanding of how to structure systems that manage model behavior and ensure consistent, reliable outputs
- Experience working with large-scale data pipelines and extracting meaningful insights from complex datasets
- Ability to translate business processes into technical solutions with clear milestones and measurable outcomes
Responsibilities
- Define technical direction and make architectural decisions for systems that support operational workflows across multiple product lines
- Build tools that process large datasets and generate insights to support fraud investigation and decision-making
- Work with data scientists and machine learning engineers to implement systems that automate manual review processes
- Design and develop AI-based applications that improve the speed and accuracy of operational tasks
- Contribute to system improvements that increase development velocity and reduce time required to launch new capabilities
Benefits
- Supplemental health insurance
- Ancillary insurance
- Mental health support programs
- Access to the best AI tools on the market and continuous AI skill-building
- Lifestyle wallet - a highly flexible employer-paid benefits spending account for expenses beyond traditional benefits such as wellness, childcare, learning, and more.
- Company holidays
- Paid time off
- Sick time
- Paid volunteer time off
- Parental leave
- Catered meals
- Events
- Comfortable workspaces
- Monthly commuter stipend
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
