---
title: 'Senior Data Scientist at Arcana Analytics'
canonical: 'https://feeny.ai/job/senior-data-scientist-arcana-analytics-bengaluru-7btjaddx51xh'
type: 'job'
last_seen: '2026-11-06'
---

# Senior Data Scientist at Arcana Analytics

- **Company:** Arcana Analytics
- **Location:** Bengaluru, India
- **Work type:** hybrid
- **Posted:** 2025-06-13
- **Last confirmed live:** 2026-11-06
- **Apply:** https://job-boards.greenhouse.io/arcanaanalytics/jobs/4005206009

## Job description

We're looking for a dynamic Senior Data Scientist to join our team, working alongside our founders, financial analysts, product managers, and engineers. This is your chance to get hands-on with massive datasets, crafting the metrics that matter to institutional investors worldwide. For those who are curious and passionate about financial technologies, this is a great opportunity to work at an extremely well-capitalized startup with a proven team of senior financial and tech industry talent to build the future of investing tools.

Responsibilities:

- Work with large and complex data sets and derive investment-relevant metrics in close partnership with financial analysts and engineers.
- Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various assets.
- Implement the risk factor model using advanced statistical and programming techniques, ensuring its performance aligns with the proposed design.
- Conduct rigorous testing and validation of the model to ensure its effectiveness in identifying, quantifying, and managing various risk factors.
- Build customer-facing metrics and dashboards.
- Work closely with analysts, engineers, and Product Managers and provide feedback as we develop our data analytics and research platform.

Requirements:

- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e. g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science). IIT preferred.
- 3+ years of experience with data analysis and metrics development.
- 3+ years of experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders.
- 2+ years of experience writing SQL queries.
- 2+ years of experience scripting in Python.
- Interested in learning new technologies to solve customer needs with lots of creative freedom.
- Strong communication skills and business acumen.
- Self-starter, motivated by an interest in developing the best possible solutions to problems.
- Strong SQL and Python programming skills.
- Experience with Airflow, Google BigQuery, and Clickhouse 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/)

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