Stop applying to remote jobs that are already dead.
Every listing shows the evidence: when we last checked it, how, and when it was posted and closed.

All listings

Arcana Analytics via Greenhouse

Portfolio Analytics Specialist

United Kingdom Level not stated
still open verified 1d ago posted 24d ago seen 2h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 24d ago

The date the source published, not the day we noticed it (2026-09-16). Last seen at its source 2h ago.

We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.

Is it remote?

London Area, United Kingdom (Remote)

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

United Kingdom

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay £66.6k–100.8k/yr

Middle 50% of 23 listings that do state pay — Operations · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

Financial ModelingPython

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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
Apply at job-boards.greenhouse.io