---
title: 'Vice President, Analysts & Client Support at Arcana Analytics'
canonical: 'https://feeny.ai/job/vice-president-analysts-client-support-arcana-analytics-bengaluru-1ptk6z28eed7'
type: 'job'
last_seen: '2026-09-04'
---

# Vice President, Analysts & Client Support at Arcana Analytics

- **Company:** Arcana Analytics
- **Location:** Bengaluru, India
- **Posted:** 2026-07-06
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/arcanaanalytics/jobs/4305859009

## Job description

Vice President, Analysts & Client Support

Location: Bangalore (Hybrid)

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 looking for a seasoned investment professional to lead our Analyst organization.

As Vice President, Analysts & Client Support you will lead a high-performing team of analysts responsible for delivering accurate, scalable, and client-ready portfolio analytics across Arcana’s platform. You will combine investment workflow expertise, analytical depth, and strong operating discipline to ensure our analyst organization supports institutional clients with exceptional quality, speed, and judgment.

You will partner closely with Product, Engineering, Data Science, Client Success, and senior leadership to translate real-world investment workflows into scalable product capabilities, analytical frameworks, and repeatable operating processes.

## Responsibilities

- Lead, mentor, and scale a team of 20–30 analysts, fostering a culture of ownership, excellence, and continuous learning.
- Drive hiring, onboarding, performance management, and career development for the Analyst organization.
- Partner with senior leadership to set priorities, operating rhythms, and execution standards across the Analyst organization.
- Own quality standards for portfolio data workflows, client implementations, analytics validation, and recurring deliverables.
- Partner with Product, Engineering, and Data Science leadership to define the roadmap for portfolio analytics and institutional investment workflows.
- Translate complex investment processes into scalable product capabilities and analytical frameworks.
- Establish best practices, review standards, and quality controls across financial models, portfolio analytics, and client deliverables.
- Act as the primary escalation point for complex analytical, operational, and client-related challenges.
- Collaborate directly with portfolio managers, CIOs, traders, and risk teams to understand evolving investment workflows and drive product innovation.
- Define team goals, operational metrics, and delivery KPIs while continuously improving execution efficiency.
- Build organizational capability through coaching, succession planning, and leadership development.
- Stay ahead of market trends, portfolio management techniques, and institutional investment practices to guide both product strategy and team direction.

## Requirements

- 12+ years of experience in institutional investing, asset management, hedge funds, portfolio analytics, risk analytics, investment technology, or client-facing analytical delivery.
- 5+ years of people management experience, including leading teams of 20+ professionals.
- Deep expertise in portfolio performance measurement, attribution, risk analytics, portfolio construction, and institutional investment workflows.
- Proven experience managing cross-functional initiatives involving Product, Engineering, and Business teams.
- Strong leadership skills with a track record of building, mentoring, and retaining high-performing analytical teams.
- Excellent stakeholder management and communication skills, with experience interacting with senior investment professionals and executive leadership.
- Strong analytical capabilities with advanced Excel skills and experience working with large financial datasets.
- Proven ability to build scalable analyst processes, QA frameworks, documentation standards, and operating metrics in a high-growth environment.
- Experience managing global stakeholders and collaborating across multiple time zones.
- Ability to balance strategic planning with hands-on execution in a fast-paced, high-growth environment.

## Qualifications

- Bachelor's or Master's degree from a top-ranked university in Finance, Economics, Engineering, Mathematics, or a related field.
- CFA designation strongly preferred; FRM or MBA is a plus.
- Experience with Bloomberg, FactSet, MSCI Barra, Aladdin, Charles River, or similar institutional investment platforms.
- Familiarity with Python, SQL, or other analytical tools is an advantage.

## 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
- [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
- [Staff Software Engineer (Data Platform)](https://feeny.ai/job/staff-software-engineer-data-platform-arcana-analytics-bengaluru-d58zrzt9hx34) — Bengaluru, India