Arcana Analytics
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.
Data Analyst
Job not on LinkedIn
🕒 March 24
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Arcana Analytics
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
• Manage and analyze large volumes of daily financial data • Design, implement, and continuously improve data quality frameworks • Perform data validation, reconciliation, and monitoring • Resolve Level 1 & Level 2 data quality issues; escalate complex issues to Data Science teams • Use SQL and Python for data analysis, scripting, and development • Build and maintain dashboards and reports for business insights • Work with large-scale datasets (100TB+) covering 100K+ global companies • Apply statistical techniques to monitor data accuracy and anomalies • Collaborate with cross-functional teams and share insights with stakeholders
🎯 Requirements
• Strong understanding of data quality, validation, and reconciliation concepts • Advanced SQL skills (complex queries, joins, performance optimization) • Proficiency in Python for data analysis and scripting • Experience with dashboarding and reporting tools • Ability to work in large-scale / big data environments • Working knowledge of statistics for data monitoring and validation • Strong communication and stakeholder management skills • Experience handling data from multiple and diverse sources
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