Staff Software Engineer

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🕒 March 24

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Arcana Analytics

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2020

💸 Finance

☁️ SaaS

🤝 B2B

💰 Funding Round - Arcana on 2022-04

Finance • SaaS • B2B

Arcana Analytics is a B2B SaaS company that provides advanced fundamental and statistical equity factor risk models, proprietary crowding and ownership datasets, and analytics tools for institutional investors. Its platform offers portfolio-level and single-stock factor/idiosyncratic decomposition, scenario analysis, optimization, live intraday factor returns, and APIs to support portfolio construction, risk management, and idea/hedge screening. Arcana serves hedge funds and asset managers seeking to improve risk-adjusted returns and understand crowding, positioning, and drivers of performance.

📋 Description

• Architect, refine, and escalate the capabilities of complex backend systems using Python, with a laser focus on efficiency, durability, and scale. • Elevate application performance, optimizing for speed, scalability, and resource allocation. • Forge robust methodologies to manage high concurrency and vast data volumes, setting new industry benchmarks. • Collaborate intimately with engineering and product peers to crystallize requirements into resilient, scalable architectures. • Demonstrate proficiency with advanced storage solutions and databases like Redis, PostgreSQL, and ClickHouse, enhancing system integrity. • Champion coding excellence, testing rigor, and deployment precision, driving best practices across the development lifecycle.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • Minimum of 5 years of experience in backend development with Python in a production environment. • Proven experience in scaling compute and I/O-intensive applications. • Strong foundation in computer science, with a deep understanding of data structures, algorithms, and system design principles. • Experience in handling concurrent requests at scale and optimizing large-scale systems for performance and reliability. • Familiarity with database technologies such as Redis, PostgreSQL, and ClickHouse. • Experience in the financial sector, particularly in developing fintech applications or systems, is a plus. • Solid understanding of software development life cycle, continuous integration, and continuous delivery (CI/CD) practices. • Excellent problem-solving abilities and strong communication skills.