Arta Finance

HQ
Mountain View
106 Total Employees
Year Founded: 2021

Jobs at Arta Finance

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Recently posted jobs

One Month AgoSaved
Remote or Hybrid
7 Locations
Financial Services
Build and maintain scalable financial data infrastructure, including ingestion, validation, normalization, and integrations. Develop systems that calculate portfolio performance metrics efficiently across high-volume datasets, improve reliability and observability, and support distributed processing. Create internal tools, dashboards, reusable schemas, asset data feeds, and self-service analytics capabilities. Collaborate cross-functionally to expand market-data coverage, support B2B integrations, and strengthen operational resilience.
2 Months AgoSaved
In-Office
Singapore, SGP
Financial Services
Lead the strategic evolution of Arta's B2B wealth platform, overseeing product vision, execution, and collaboration with engineering teams to develop scalable financial solutions.
Financial Services
Design and implement portfolio-construction and trade-execution models, focusing on optimization, risk modeling, tax-aware execution, and backtesting. Translate research into production-quality systems, collaborate with investment and engineering teams, validate strategies against historical data, and maintain robust, scalable services for managing client portfolios.
2 Months AgoSaved
Remote or Hybrid
7 Locations
Financial Services
Build and maintain core financial backend systems (trading, ledger, billing), transaction processing, reconciliation, and portfolio state management. Design and scale real-time and batch data pipelines, architect APIs and backend services, ensure reliability and observability, and contribute to distributed system design (event-driven, microservices, streaming). Partner with ML teams as needed.
2 Months AgoSaved
In-Office
Singapore, SGP
Financial Services
Design and build backend systems and APIs for Arta's financial services, collaborating with product and ML teams to optimize reliability and performance. Responsibilities include making architectural decisions and using AI tools effectively for code quality.