Sales Development Representative
Quick Summary
Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk.
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 an exceptional Sales Development Representative to help drive that transformation.
As a SDR at Arcana, you’ll play a foundational role in building our client base and shaping the future of institutional analytics. You’ll identify, research, and engage prospective clients across the hedge fund and asset management ecosystem—partnering closely with sales, marketing, and product to open high-value opportunities and define how we reach new clients.
Responsibilities
~1 min read- →Identify and research target hedge funds, asset managers, and allocators to build high-quality prospect lists
- →Engage prospective clients through personalized outreach (email, LinkedIn, calls) to introduce Arcana and qualify interest
- →Collaborate closely with Sales Directors to develop account strategies and book qualified discovery meetings
Requirements
~1 min read- 2+ years of experience in a client-facing role within financial services or enterprise SaaS, with direct exposure to institutional clients (hedge funds, asset managers, allocators, etc.)
- Familiarity with portfolio analytics, investment concepts, and institutional workflows (e.g. attribution, alpha/beta, drawdowns, correlation, etc.)
- Excellent written and verbal communication skills—able to engage hedge fund and asset management professionals with credibility
- Self-starter mindset with strong organization, curiosity, and attention to detail
- Experience with CRM tools (Salesforce, HubSpot, or similar) preferred
- Prior exposure to hedge funds, asset managers, or investment technology is a plus
- Bachelor’s or Master’s degree in Finance, Economics, Business, or a related field
- CFA, FRM, or MBA is a strong plus
- Experience with Bloomberg, FactSet, or portfolio analytics platforms is helpful
- Familiarity with equity risk models and factor-based investment frameworks is helpful
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- July 13, 2026
- First seen
- July 13, 2026
- Last seen
- July 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- July 13, 2026
Signal breakdown
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