---
title: 'Portfolio Analytics Specialist at Arcana Analytics'
canonical: 'https://feeny.ai/job/portfolio-analytics-specialist-arcana-analytics-london-area-dz7s0sqcrvmw'
type: 'job'
last_seen: '2026-09-18'
---

# Portfolio Analytics Specialist at Arcana Analytics

- **Company:** Arcana Analytics
- **Location:** London Area, United Kingdom
- **Work type:** remote
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-18
- **Apply:** https://job-boards.greenhouse.io/arcanaanalytics/jobs/4407977009

## Job description

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

## 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/)

## Other roles at Arcana Analytics

- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-arcana-analytics-new-york-pg3bmdsyg0qm) — New York, NY
- [Sales Director](https://feeny.ai/job/sales-director-arcana-analytics-hong-kong-3mq46kwt2bfd) — Hong Kong
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-arcana-analytics-new-york-041jtzkwv8nm) — New York, NY
- [Vice President, Analysts & Client Support](https://feeny.ai/job/vice-president-analysts-client-support-arcana-analytics-bengaluru-1ptk6z28eed7) — Bengaluru, India
- [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
- [Senior AI Engineer — Inference & Agent Systems](https://feeny.ai/job/senior-ai-engineer-inference-agent-systems-arcana-analytics-united-states-q4ws5endktvs) — United States
- [Staff Frontend Engineer](https://feeny.ai/job/staff-frontend-engineer-arcana-analytics-bengaluru-pxn8scz249p5) — Bengaluru, India
- [Customer Success Manager](https://feeny.ai/job/customer-success-manager-arcana-analytics-india-5pfjws22fjrz) — India