---
title: 'Data Analyst at Arcana Analytics'
canonical: 'https://feeny.ai/job/data-analyst-arcana-analytics-coimbatore-mc11vn3cmjg6'
type: 'job'
last_seen: '2026-09-11'
---

# Data Analyst at Arcana Analytics

- **Company:** Arcana Analytics
- **Location:** Coimbatore, India / Bangalore, India
- **Work type:** remote
- **Posted:** 2026-01-23
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/arcanaanalytics/jobs/4110676009

## 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 help drive that transformation.

We are looking for a Data Analyst to work with large-scale financial datasets, ensure high data quality, and deliver actionable insights through dashboards and reports. The role focuses on building and maintaining robust data quality frameworks and collaborating closely with internal and external stakeholders at scale.

## Responsibilities

- Manage and analyze large volumes of daily financial data
- Design, implement, and continuously improve data quality frameworks
- Perform data validation, reconciliation, and monitoring
- Resolve Level 1 & Level 2 data quality issues; escalate complex issues to Data Science teams
- Use SQL and Python for data analysis, scripting, and development
- Build and maintain dashboards and reports for business insights
- Work with large-scale datasets (100TB+) covering 100K+ global companies
- Apply statistical techniques to monitor data accuracy and anomalies
- Collaborate with cross-functional teams and share insights with stakeholders

## Requirements

- Strong understanding of data quality, validation, and reconciliation concepts
- Advanced SQL skills (complex queries, joins, performance optimization)
- Proficiency in Python for data analysis and scripting
- Experience with dashboarding and reporting tools
- Ability to work in large-scale / big data environments
- Working knowledge of statistics for data monitoring and validation
- Strong communication and stakeholder management skills
- Experience handling data from multiple and diverse sources

## Qualifications

- Bachelor’s degree in BCA / MCA / Engineering
- CGPA: 8+
- Prior experience in Finance / FinTech preferred
- Exposure to financial datasets is a plus

## 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

- [Sales Director](https://feeny.ai/job/sales-director-arcana-analytics-hong-kong-3mq46kwt2bfd) — Hong Kong, China
- [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
- [Senior AI Engineer — Inference & Agent Systems](https://feeny.ai/job/senior-ai-engineer-inference-agent-systems-arcana-analytics-bengaluru-a2gtfsq4gpva) — Bengaluru, India