Mobile-first cross-border investing and card payments for the Americas
ARQ is a New York fintech building mobile investing and payments products that give users across the Americas access to global assets and markets. Its native iOS and Android stack (Swift, SwiftUI, Kotlin, Jetpack) runs on Java/Spring Boot microservices over AWS and Kubernetes, with Jumio for identity checks. Accelerating hiring weighted toward engineering, product and security, plus pain points about building security from scratch, points to a company hardening its foundations as it scales.
Notable leadership hires: Head of Growth
ARQ is a privately held financial services company headquartered in New York, NY, with 51–200 employees. It offers travelers, investors and professionals in the Americas a way to hold and grow money in strong global assets and markets. The product includes native mobile apps and a card payments system backed by Java and Spring Boot services on AWS and Kubernetes. The company hires across the United States, United Kingdom, Gibraltar, Brazil and Canada, spanning engineering, product, data, security, legal, finance and HR teams.
ARQ uses Swift, SwiftUI and Kotlin for mobile, Java with Spring Boot and PostgreSQL on the backend, AWS and Kubernetes for infrastructure, and Snowflake, BigQuery, dbt and Looker for data.
ARQ hires in the United States, United Kingdom, Gibraltar, Brazil and Canada, with hiring velocity currently accelerating.
Yes. Security is an active hiring area, with job posts describing building a security function from scratch and creating a vendor security assessment framework, supported by tools like CrowdStrike, Okta and Cloudflare.
Other companies in the same industry, closest in size
ARQ's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.