채용
필수 스킬
Spark
Machine Learning
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 thoughtful problem-solvers and builders who want to create systems that directly improve how customers are served and protected. 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 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 detection and investigation 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.
What you’ll do
- You will build tools that process large datasets and generate insights to support fraud investigation and decision-making● You will work with data scientists and machine learning engineers to implement systems that automate manual review processes● You will design and develop AI-based applications that improve the speed and accuracy of operational tasks● You will contribute to system improvements that increase development velocity and reduce time required to launch new capabilities
What you bring
- You have experience building and operating applications that use large language models or similar AI systems in production environments● You understand how to structure systems that manage model behavior and ensure consistent, reliable outputs● You have experience working with large-scale data pipelines and extracting meaningful insights from complex datasets● You can translate business processes into technical solutions with clear milestones and measurable outcomes
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.
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Robinhood 소개

Robinhood
PublicDemocratizing finance for all.
1,001-5,000
직원 수
Menlo Park
본사 위치
$32B
기업 가치
리뷰
3.7
10개 리뷰
워라밸
3.2
보상
3.5
문화
4.1
커리어
3.3
경영진
3.0
65%
친구에게 추천
장점
Great team culture and collaborative environment
Flexible hours and good work-life balance
Innovative projects and cutting-edge technology
단점
Management issues and lack of direction
High pressure and stressful work environment
Long hours and overwhelming workload
연봉 정보
40개 데이터
Junior/L3
Senior/L5
Junior/L3 · Risk Data Scientist
1개 리포트
$144,069
총 연봉
기본급
$110,822
주식
-
보너스
-
$144,069
$144,069
면접 경험
4개 면접
난이도
3.5
/ 5
소요 기간
21-35주
경험
긍정 0%
보통 50%
부정 50%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
뉴스 & 버즈
Is It Too Late To Consider Robinhood Markets (HOOD) After Its Recent Share Price Surge - simplywall.st
simplywall.st
News
·
1d ago
Charles Schwab announcement sinks Robinhood stock - TradingView — Track All Markets
TradingView — Track All Markets
News
·
3d ago
Bitcoin prices lose momentum, Coinbase & Robinhood stocks sink - Yahoo Finance
Yahoo Finance
News
·
3d ago
Charles Schwab to launch direct bitcoin, ether trading to compete with Robinhood - CNBC
CNBC
News
·
3d ago