Financial Analyst

Stellar Fusion; Bengaluru; On-site; INR 800,000 - 1,400,000; Full time

Benefits offered by this job

Exposure to global banks

Career growth in evolving AI-finance

London leadership visits Bengaluru

Direct exposure to analysts and models

Job summary

Stellar Fusion in Bengaluru seeks a Financial Analyst to build AI-ready financial data infrastructure for investment banks and asset managers. You will review analyst models, ensure internal consistency, test platform features, and write product specs, leveraging Claude and other AI tools.

This role emphasizes core corporate finance expertise and rigorous data integrity. You'll work closely with senior analysts and engineers, communicating clearly with clients and analysts and contributing to

Qualifications

• Bachelor's degree or higher in Finance, Economics, Business or another finance-related discipline
• Strong corporate finance knowledge: how companies generate cash, create value and fund themselves, and how these show up in the numbers
• Genuine interest in valuation and main methods (DCF and comps)
• Experience building or working with financial/valuation models in Excel
• Understanding of the three financial statements and ability to spot inconsistencies
• Comfort reading company reports and relating them to a model
• Strong Excel skills including tracing formulas
• Clear, concise written and verbal English
• Comfortable working from the office most days (in-person team)

Responsibilities

• Financial Model Review & Quality Assurance — map sell-side Excel models to our taxonomy and ensure linkage across statements
• Platform Testing from an Analyst's Perspective — test features and verify financial correctness across scenarios
• Product Documentation & Feature Development — write specs and translate finance needs into product requirements
• AI-Assisted Financial Analysis — use Claude and Claude Code for model review and debugging
• Client & Analyst Communication — onboard analysts and translate finance context for developers
• Collaboration & Knowledge Sharing — review colleagues' models and learn as a team, Bengaluru-based

Skills

Corporate finance knowledge

Valuation methods

Excel modelling

Financial statements analysis

English communication

Office presence

AI tools (Claude)

Financial data infrastructure

Education

Bachelor's degree in Finance/Economics/Business

Finance certifications (CPA/ CFA/ CFA level)

Tools

Excel

Python/SQL/VBA

GitHub/PRs

Claude AI tools

Job description

Stellar Fusion is hiring a Financial Analyst in Bengaluru. Finance meets AI — you'll use your corporate finance and modelling knowledge to build financial data infrastructure for investment banks and asset managers.

Role Overview

We turn sell-side analysts' Excel models into structured, AI-ready financial data. We ingest models, map every line item to a standard financial taxonomy, and deliver clean data to clients through AI integrations and embedded platforms. Our clients make investment decisions on this data, so the finance has to be right.

You'll join our team in Bengaluru, reporting to the Co-Founder in London. You'll work daily with senior analysts and engineers across both offices.

You'll read analyst models the way a senior analyst would: checking that the numbers hold together, that forecasts and valuation assumptions make sense, and that each line item means what it says. You'll also test platform features, write product specs, and use AI tools daily, but your financial judgement is what the role depends on. We figure things out together — when someone finds a problem, the team solves it; when someone learns something new, everyone hears about it.

Who This Role Is For

This role suits someone who thinks like an investor: you enjoy working out what a business is worth and why, you're comfortable with financial models, and you notice when the numbers don't make sense. You may come from equity research, investment banking, corporate finance, M&A, private equity, valuation advisory or a financial research team, and want to work closer to technology.

Corporate finance and valuation knowledge are at the heart of this role. Experience with technology and AI tools is a welcome bonus, and something you'll build on here.

Responsibilities

Financial Model Review & Quality Assurance — Review sell-side analyst Excel models across sectors and map them to our financial taxonomy. Check that the income statement, balance sheet and cash flow statement link and balance, that historical figures tie back to company filings, and that forecasts, KPIs and valuation outputs are consistent. Find structural issues, formula errors and mapping inconsistencies. Every model must be publication-ready before it reaches clients.

Platform Testing from an Analyst's Perspective — Test features and bug fixes across the full platform — not just the obvious scenarios. Check that the numbers coming out are financially correct, and think through the cases analysts actually meet: restated historicals, non-calendar fiscal years, currencies and units, adjusted versus reported figures, and non-standard line items.

Product Documentation & Feature Development — Write specs for new features. Turn your financial expertise into product ideas: what analysts and investors need, and how the data should behave. Prototype solutions using Claude and other AI tools.

AI-Assisted Financial Analysis — Claude and Claude Code are daily tools here — for model review, documentation, debugging and speeding up routine work. You'll push the boundary of AI applied to financial data, and your finance knowledge is what makes that output trustworthy. If you're new to these tools, you'll learn them on the job alongside the team.

Client & Analyst Communication — Onboard sell-side analysts, discuss their models with them in their own language, troubleshoot issues, and support their use of the platform and our AI integrations. Translate financial context into clear requirements developers can act on.

Collaboration & Knowledge Sharing — Small team, high trust, and everyone contributes. You'll review each other's models, share what you've learned, and catch what others miss. The best people here are the ones who make everyone around them better. We work from our Bengaluru office — being together is how we learn fast and build well.

Requirements

Essential — Corporate Finance & Valuation

• Bachelor's degree or higher in Finance, Economics, Business or another finance-related discipline
• Strong corporate finance knowledge: how companies generate cash, create value and fund themselves, and how these show up in the numbers
• A genuine interest in valuation and a good grasp of the main methods, such as discounted cash flow and comparable company multiples
• Experience building or working with financial and valuation models in Excel, through work, an internship, a course or a professional qualification
• Understanding of how the three financial statements connect, and the ability to spot when something doesn't add up
• Comfortable reading company reports, results and research, and relating them back to a model
• Strong Excel skills, including checking and tracing other people's formulas
• Exceptional attention to detail — our clients make investment decisions on this data
• Clear, concise written and verbal communication in English
• Comfortable working from the office most days — we're a collaborative, in-person team

Preferred — Finance

• Any further finance qualification or certification is a plus; relevant skills and experience matter most
• Experience in equity research, investment banking, corporate finance, M&A, private equity, valuation advisory or financial research
• Knowledge of how different sectors are analysed and valued
• A personal interest in markets and investing: you follow companies, read research or form your own investment views

Good to Have — Technology & AI

• Already using Claude, ChatGPT or similar AI tools in your work
• Any tech background: coding (Python, SQL, VBA), CS coursework or a tech certification
• Experience with GitHub, PRs, or working alongside engineering teams
• Familiarity with Claude Code, APIs, or building prototypes with AI
• Experience with QA testing or product documentation

What We Offer

• Apply your finance expertise to building AI-powered financial products
• Direct exposure to sell-side research analysts at global investment banks, and to the models behind their research
• A broad view of how professional analysts forecast and value companies, across sectors and geographies
• A team that genuinely enjoys working together — your contributions are visible and recognised
• The role has evolved dramatically in 12 months and will keep evolving — you'll grow fast and build AI and technology skills on top of your finance foundation
• London leadership that visits regularly and invests in the Bengaluru team
• We reward people who make the team better, not just themselves