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Arcana Analytics

Portfolio Analytics Specialist

  • Seen live on Arcana Analytics' site today
  • Mid level
Pay
Not stated
Location
New York, United States
Open for
12+ days
First seen
Oct 23, 2026
Apply on Arcana Analytics' site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Arcana Analytics' site dates the posting
  2. Ghostless first sees this listing
  3. 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.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What it asks of you

2–5 years of experience
“2–5 years of experience in a highly analytical, client-facing, or execution-oriented role within financial services, fintech, or investment technology” (quoted from the posting)

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

About the job

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance, risk, and portfolio exposures. We’re rethinking the analytical infrastructure institutional investors rely on—and we’re hiring analytically driven problem solvers who want to help shape the future of investment technology.

This is not a traditional investment analyst role focused on pitching stocks or building static models. Our Portfolio Analytics Specialists work directly with clients, product, and engineering teams to onboard sophisticated investment firms, solve complex portfolio analytics challenges, and help build institutional-grade financial software.

If you enjoy owning projects end-to-end, working closely with institutional investors, and translating analytical problems into scalable workflows and tools, we’d love to talk.

Responsibilities

  • Lead onboarding and implementation projects for hedge funds and asset managers using Arcana’s portfolio intelligence platform
  • Partner directly with portfolio managers, analysts, risk teams, and operations teams to understand workflows and analytical requirements
  • Collaborate cross-functionally with product, engineering, and data science teams to improve analytics workflows and platform capabilities
  • Troubleshoot client issues and drive resolution across analytical, operational, and technical domains
  • Help shape product direction by identifying recurring client needs, workflow inefficiencies, and opportunities for automation
  • Clearly communicate analytical insights and platform functionality to sophisticated institutional users

Requirements

  • 2–5 years of experience in a highly analytical, client-facing, or execution-oriented role within financial services, fintech, or investment technology
  • Strong project ownership skills with the ability to independently manage initiatives from onboarding through execution
  • Excellent analytical and problem-solving abilities, including comfort working with large datasets and financial concepts
  • Strong communication and interpersonal skills, with the ability to explain complex analytical concepts clearly to institutional clients
  • Familiarity with portfolio analytics concepts such as performance attribution, factor exposures, risk metrics, drawdowns, correlation, and volatility
  • Demonstrated interest in financial markets, portfolio management, and institutional investment workflows
  • Highly organized, detail-oriented, and comfortable operating in a fast-paced environment
  • Ability to work cross-functionally with clients, product managers, engineers, and data teams

Qualifications

  • Bachelor’s or Master’s degree in Finance, Economics, Engineering, Mathematics, Computer Science, or a related field
  • Strong academic performance, 3.7+ GPA
  • Experience with Excel and analytical tools required
  • Familiarity with Bloomberg, FactSet, Aladdin, or similar financial platforms is a plus
  • Experience with Python, SQL, or other analytical/programming tools is beneficial but not required
  • CFA, FRM, or related certifications are a plus

Open to New York, Chicago, or Remote

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