Posting record
Open 12+ days
- Arcana Analytics' site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Arcana Analytics, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- 4+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to drive that transformation.
This isn’t a typical modeling-and-memos analyst role. Our analysts work directly with product, engineering, and data science to shape institutional-grade financial software. If you’re an analyst looking for more impact, more ownership, and the chance to help shape real tools for investors—we’d love to talk.
Responsibilities
- 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
Qualifications
- 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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