---
title: 'Sales Director at Arcana Analytics'
canonical: 'https://feeny.ai/job/sales-director-arcana-analytics-hong-kong-3mq46kwt2bfd'
type: 'job'
last_seen: '2026-09-04'
---

# Sales Director at Arcana Analytics

- **Company:** Arcana Analytics
- **Location:** Hong Kong, China
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/arcanaanalytics/jobs/4383437009

## Job description

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rebuilding the institutional analytics stack — and we’re hiring an Accounts Director to accelerate our growth across APAC.

Arcana already works with leading institutional clients in APAC. This role will build on that foundation — driving new logo acquisition and expanding our regional footprint across APAC.

This is a senior individual contributor role with full quota ownership and no direct reports initially. We are looking for a top-tier enterprise seller who consistently performs at the top of their team and thrives in complex, high-stakes institutional sales cycles.

## Responsibilities

- Own new business development across Hong Kong and APAC
- Drive full-cycle enterprise sales: sourcing, executive engagement, solution positioning, procurement, and close
- Close complex, multi-stakeholder SaaS deals with hedge funds and asset managers
- Develop trusted relationships with CIOs, COOs, Heads of Risk, PMs, and senior investment leaders
- Expand Arcana’s presence within the APAC institutional ecosystem
- Represent Arcana at industry conferences and senior-level meetings
- Partner closely with Product and Leadership to translate market feedback into strategic growth

## Requirements

- 8–15+ years of enterprise sales experience, ideally selling into hedge funds, asset managers, or institutional allocators
- Consistent top performer with a demonstrated record of closing high-value enterprise deals
- Proven ability to close high ACV SaaS or financial technology contracts
- Deep familiarity with institutional investment workflows (portfolio analytics, attribution, risk, alpha/beta, drawdowns, factor models, etc.)
- Strong network within the Hong Kong institutional investment community
- Exceptional executive presence and communication skills
- Highly autonomous and entrepreneurial — comfortable owning a region and carrying a meaningful quota

## Qualifications

- Bachelor’s degree required; MBA, CFA, or similar is a strong plus
- Experience selling portfolio analytics platforms, risk systems, OMS/PMS, or market data solutions strongly preferred
- Experience operating as a senior regional individual contributor is a strong plus

## Why This Role Is Different

- You'll own the region, not just a slice of it. Full P&L and strategic accountability for APAC growth — you decide the playbook, not execute someone else's.
- You're not starting from zero. Existing institutional relationships and traction give you a running start most growth roles never offer — momentum to compound, not a market to cold-start.
- You'll sit close to the decisions that matter. Direct, regular access to leadership means your read on the market shapes company strategy, not just regional execution.
- You'll help define the product, not just sell it. Your frontline insight from the region feeds directly into building the next generation of portfolio intelligence tools — you're shaping what Arcana becomes.

## About Arcana Analytics

## Company Overview
- **One-liner**: Arcana provides a portfolio intelligence platform that enables institutional investors to analyze risk, decompose performance, and surface alpha through proprietary crowding, ownership, and factor datasets.
- **Entity Type**: Private (Series A)
- **Headquarters**: New York, New York, United States
- **Founded**: 2022
- **Founders**: Rich Falk-Wallace (CEO) and Siva Visakan Sooriyan (CTO)

## Core Business
- Primary industry/industries: Financial technology (FinTech), investment analytics, risk management
- Target customers: Institutional investors – hedge funds, asset managers, and portfolio managers (B2B, Enterprise)
- Mission or purpose statement: “Portfolio intelligence for hedge funds and asset managers — analyze risk, decompose performance, and surface alpha.”

## Products & Services
- **Risk Model Core**: Sophisticated fundamental equity factor risk models with parsimonious core factors and extensive custom factor library. Provides long- and short-horizon analysis and visibility. (SaaS)
- **Ownership, Crowding, & Performance Database**: Live short interest data, treasury holdings, and full idio/factor model for precise crowding and positioning insights. (Data feed / SaaS)
- **Optimization, Scenarios, Screening, & API**: Tools for building analytically‑constructed books, running scenario analysis, idea/hedge screening, and advanced API access. (SaaS + API)
- **Cross‑Market Synthesis**: Combines single‑stock options, implied earnings moves, macro exposures, consensus estimate revisions, and positioning to explain stock movement drivers. (SaaS)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding raised – $5.3M (CBInsights); Series A led by D1 Capital Partners and Abstract Ventures (LinkedIn notes additional investors including Duquesne (Stan Druckenmiller), Tiger Global, GoldenTree Asset Management, Ryan Roslansky, and Akshay Kothari)
- **Notable Investors/Partners**: D1 Capital, Duquesne, Tiger Global, Abstract Ventures, GoldenTree Asset Management, Ryan Roslansky (CEO LinkedIn), Akshay Kothari (COO Notion)
- **Growth Signals**: Headcount grew ~180% YoY to 194 employees. Active job postings increased +166.7% year over year (24 open roles). LinkedIn followers surged +3846.9% YoY. Expanding presence in India (Bangalore, Coimbatore) and Ecuador.

## Competitive Advantages
- Only provider combining live short‑interest data with full factor risk and idiosyncratic models for unprecedented crowding accuracy.
- Sophisticated factor models explain ~75% of large‑cap single‑stock moves, giving clients clarity on drivers vs. residual alpha.
- 20‑year factor model history and live intraday factor returns produce real‑time portfolio insights.
- Institutional backing and advisory from top‐tier investment firms and tech leaders.

## Strategic Focus
- Building AI agents that synthesize information across heterogeneous sources to deliver structured, actionable insights (multiple Senior AI Engineer roles posted).
- Expanding client coverage globally (hiring Accounts Director for Hong Kong/APAC) and deepening engineering talent in India.
- Scaling the platform to serve a broader set of institutional clients with optimization, scenario analysis, and API workflows.

## Why Work Here
- Rapidly growing startup (180% YoY headcount growth) with proven product‑market fit and prestigious investors.
- Hybrid/on‑site culture: roles in New York, Bangalore, and Coimbatore; about 46% of openings are hybrid, 50% on‑site, 4% remote.
- Exposure to cutting‑edge work in financial risk modeling, AI, and data engineering.
- Notable perks: working with proprietary datasets, direct impact on a product used by top hedge funds, and a collaborative “analytically driven” problem‑solving environment.
- Engineering culture emphasizes modern infrastructure, AI agents, and real‑time data pipelines.

## Sources
1. [arcana.io](https://www.arcana.io/)
2. [LinkedIn – Arcana Analytics](https://www.linkedin.com/company/arcanaanalytics)
3. [CBInsights – Arcana](https://www.cbinsights.com/company/arcana-1)
4. [Greenhouse Careers – Arcana Analytics](http://job-boards.greenhouse.io/arcanaanalytics)
5. [Jobera – Arcanaanalytics Careers](https://jobera.com/employer/arcanaanalytics/)

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- [Client Solutions Associate](https://feeny.ai/job/client-solutions-associate-arcana-analytics-new-york-cjabx1zp01mg) — New York, NY
- [Portfolio Analytics Specialist](https://feeny.ai/job/portfolio-analytics-specialist-arcana-analytics-new-york-v3md429mwjq8) — New York, NY
- [Office Manager](https://feeny.ai/job/office-manager-arcana-analytics-bengaluru-8fr8hyfc6129) — Bengaluru, India
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