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Robinhood

Software Developer, Fraud Investigations

Posted 5 Days Ago
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In-Office
Toronto, ON, CAN
Mid level
Easy Apply
In-Office
Toronto, ON, CAN
Mid level
As a Software Developer in Fraud Investigations, you will build AI-driven tools for fraud detection, process large datasets, and enhance system reliability.
The summary above was generated by AI
Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Ops Platform and Fraud Investigations team develops internal platforms that replace repetitive manual processes with AI-driven systems. These tools support 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 lead the design and development of platforms that enable operational teams to investigate and resolve issues more quickly and accurately. You will own complex technical problems end-to-end, working with large datasets and signals to build systems that support fraud detection and investigation workflows. You will collaborate closely with data scientists and machine learning engineers to translate manual processes into scalable automated systems. You will also guide technical direction for key initiatives, ensuring systems are reliable, maintainable, and capable of supporting new products and operational needs as they grow.

This role is based in our Toronto, ON office(s), 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.

What you’ll do

● You will design and build scalable systems that process large datasets and generate insights to support fraud investigation and decision-making
● You will lead the implementation of systems that automate manual review processes in partnership with data scientists and machine learning engineers
● You will develop AI-based applications that improve the speed, accuracy, and consistency of operational workflows
● You will define technical approaches for complex projects, breaking them into clear milestones and delivering measurable outcomes
● You will improve system reliability and development efficiency by identifying gaps and implementing structured solutions

What you bring

● You have experience building and operating production systems that use large language models or similar AI technologies
● You design systems that manage model behavior and produce consistent, reliable outputs at scale
● You have experience working with large-scale data pipelines and extracting insights from complex datasets
● You translate business processes into technical solutions with clear scope, milestones, and measurable outcomes
● You contribute to technical direction and support other engineers through design reviews or guidance on implementation approaches

What we offer

● Challenging, high-impact work to grow your career
● Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
● Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
● Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
● Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
● Exceptional office experience with catered meals, events, and comfortable workspaces.
● Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed.

Base Pay Range:

Toronto, ON
$136,000$160,000 CAD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

Top Skills

AI
Data Pipelines
Large Language Models

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