Cross-border fintech for asset access and wealth management in the Americas
ARQ is a fintech platform serving travelers, investors, and professionals across the Americas with access to international assets and markets. The tech stack spans Java/Spring Boot backend infrastructure, iOS/Android native mobile, and a mature data layer (Postgres, Snowflake, BigQuery, dbt, Looker, Power BI), paired with cloud-native tooling (AWS, Kubernetes, Datadog, Prometheus, Grafana). The hiring mix is engineering-heavy with concurrent security scaling—10 engineers, 5 dedicated security hires, and 4 data staff—reflecting both platform complexity and heightened regulatory scrutiny around data protection and AI workflows.
Notable leadership hires: Creative Director, Head of Growth
ARQ operates a fintech platform enabling cross-border asset and market access for individuals and professionals in the Americas. The product spans multiple surfaces: a stock trading application, a credit product line, a premium tier, and a card payments system, all supported by microservices infrastructure. The company is 51–200 employees, headquartered in New York, with active hiring in the United Kingdom and Brazil. Current engineering priorities include cloud security assessments, SIEM detection rule development, mobile team scaling, and replacing third-party software with internal platforms.
Backend: Java, Spring Boot, PostgreSQL. Data: Snowflake, BigQuery, dbt, Looker, Power BI. Mobile: iOS (Swift, SwiftUI, Xcode, UIKit) and Android (Kotlin, Jetpack, Android Studio). Infrastructure: AWS, Kubernetes, Datadog, Prometheus, Grafana. Security/ops: Okta, Cloudflare, CrowdStrike.
New York, NY. The company is also hiring in the United Kingdom and Brazil, indicating geographic expansion beyond its US home base.
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.