Arcana Analytics
Arcana Analytics builds a portfolio intelligence platform for hedge funds and asset managers, combining portfolio data with analytics on performance attribution, factor risk, crowding, and ownership using proprietary datasets. It sells enterprise software and data subscriptions used for portfolio construction, real-time risk, and research workflows by institutional investors in global markets, including APAC. Founded in 2022 and headquartered in New York, the company is privately held and raised a Series B in 2026.
Open Positions at Arcana Analytics
7 open positions
Lead the design and development of high-performance data platforms supporting large-scale batch, streaming, and real-time processing. This staff-level role combines deep distributed-systems expertise with technical leadership across data architecture, reliability, and optimization.
Build production-grade AI inference and agent systems optimized for speed, reliability, and correctness. You’ll own orchestration, streaming, model routing, evaluation infrastructure, and the systems that make multi-step agents work at scale.
Build high-performance React interfaces and backend API services as a Staff Frontend Engineer owning significant product components. You’ll partner with Product and Design while driving scalability, reliability, and end-to-end technical execution.
Design and scale secure, highly automated cloud infrastructure while improving reliability, performance, and developer productivity. This role combines hands-on DevOps engineering with internal tooling, architectural ownership, and mentorship.
Build high-performance, user-centric web experiences with React while contributing to backend APIs and scalable system infrastructure. This role combines frontend expertise, product collaboration, and end-to-end ownership of major features and systems.
Build Arcana’s first iOS application from the ground up as a technical leader owning native experiences, architecture, performance, and client infrastructure. Collaborate across product, design, and engineering while raising the quality of mobile development.
Lead the architecture and performance optimization of highly scalable Python backend systems handling demanding compute, I/O, concurrency, and data workloads. This Staff-level role combines deep systems expertise with hands-on development and technical leadership.