Riskified Offices

Riskified is headquartered in New York and has 7 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Our hybrid policy allows employees to work both at home and in our office to provide flexibility and enhance collaboration amongst teams. Our NYC team works in a hybrid work model of 3 days in office and 2 days remote.

Typical time on-site: 3 days a week

U.S. Office Locations

Global Office Locations

HQ

New York

Our NY office is located in Flatiron, directly across from Madison Square Park where our employees love to eat lunch in the summer and go for walks!

Brazil

Lisbon

Lisbon, Portugal

Melbourne

Melbourne, Australia

Mexico

Tel Aviv-Yafo

Sderot Sha'ul HaMelech 37, Tel Aviv-Yafo, Israel

Tokyo

Recently posted jobs

3 Days AgoSaved
Hybrid
New York, NY, USA
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Generate and nurture leads among large enterprises and Fortune 500 companies through strategic research, networking, and tailored outreach. Identify target-company needs and decision-makers, communicate Riskified’s fraud and payments technology value, and contribute directly to revenue growth in a fast-paced, consultative sales environment.
3 Days AgoSaved
Hybrid
New York, NY, USA
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Manage and validate merchant data integrations that feed Riskified’s data science models. Responsibilities include configuring data transformations, onboarding clients, assessing data flows, creating JSON and CSV templates, writing Python, SQL, Spark, Databricks, or R scripts, wrangling large datasets, monitoring data alerts, resolving data issues, and collaborating with engineering, product, data science, research, account management, and sales teams.
8 Days AgoSaved
Hybrid
Lisbon, PRT
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Evaluate and improve application security architecture, processes, tools, and documentation. Conduct security design reviews, code reviews, threat modeling, and security testing for applications, AI systems, LLM applications, and AI agents. Identify vulnerabilities and architecture gaps, collaborate with development and product teams on remediation, implement security best practices, and assist with security incident response.