Portfolio Analytics Specialist

🕒 September 16

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

👻 Ghost score 24%

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Arcana Analytics

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2020

📣 Marketing

📦 Logistics

🏭 Manufacturing

💰 Funding Round - Arcana on 2022-04

Marketing • Logistics • Manufacturing

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

• Collaborate with product, engineering, and data science teams to build robust portfolio intelligence tools and analytics components • Analyze portfolio- and security-level performance, risk, and attribution • Decompose returns to identify key drivers of alpha, beta, and idiosyncratic outcomes • Conduct market, macroeconomic, and security-level research to support client workflows and product insights • Validate, interpret, and clearly communicate financial metrics to both internal stakeholders and clients

🎯 Requirements

• 2–4+ years of experience in a front-office financial role (investment banking, hedge fund, asset management, or similar) • Exceptional analytical and Excel skills, with strong proficiency in financial modeling and interpreting large datasets • Deep understanding of core investment concepts: portfolio theory, risk attribution, yield, drawdown, correlation, and volatility • Excellent at communicating with institutional clients—including portfolio managers, analysts, CIOs, and risk managers—with the ability to distill complex analysis into clear, actionable insights • Demonstrated deep interest in financial markets, investment strategies, and institutional workflows • Self-starter with the ability to work independently in a fast-paced, remote environment • Familiarity with institutional investment processes, research platforms, and financial data tools • Bachelor’s or Master’s degree from a top-ranked university in Finance, Economics, Engineering, or a related field • First-Class Honours degree (or international equivalent) required • CFA, FRM, or MBA is a strong plus • Experience with tools like Bloomberg, FactSet, or data programming languages (Python, R) is a bonus

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