Financial Analyst

About the Role

Stellar Fusion is hiring a Financial Analyst in Bengaluru. The role involves using corporate finance and modelling knowledge to build financial data infrastructure for investment banks and asset managers. Stellar Fusion transforms sell-side analysts' Excel models into structured, AI-ready financial data.

Key Responsibilities

• Financial Model Review & Quality Assurance: Review sell-side analyst Excel models across sectors and map them to Stellar Fusion's financial taxonomy.
• Check income statement, balance sheet, and cash flow statement linkage and balance.
• Verify historical figures tie back to company filings.
• Ensure forecasts, KPIs, and valuation outputs are consistent.
• Identify structural issues, formula errors, and mapping inconsistencies.
• Ensure models are publication-ready before client delivery.
• Platform Testing from an Analyst's Perspective: Test platform features and bug fixes, considering scenarios like restated historicals, non-calendar fiscal years, currencies, units, adjusted versus reported figures, and non-standard line items.
• Verify financial correctness of platform outputs.
• Product Documentation & Feature Development: Write specifications for new features.
• Translate financial expertise into product ideas regarding analyst and investor needs.
• Prototype solutions using Claude and other AI tools.
• AI-Assisted Financial Analysis: Utilize Claude and Claude Code for model review, documentation, debugging, and accelerating routine work.
• Push the boundaries of AI applied to financial data, ensuring output trustworthiness through financial judgment.
• Learn AI tools on the job if new to them.
• Client & Analyst Communication: Onboard sell-side analysts, discuss their models, troubleshoot issues, and support their use of the platform and AI integrations.
• Translate financial context into clear requirements for developers.
• Collaboration & Knowledge Sharing: Review each other's models, share learnings, and identify issues others may miss.

Requirements & Tech Stack

Essential

• Corporate Finance & Valuation:
• Bachelor's degree or higher in Finance, Economics, Business, or another finance-related discipline.
• Strong corporate finance knowledge: understanding how companies generate cash, create value, and fund themselves, and how these are reflected in financial numbers.
• Genuine interest in valuation and a good grasp of main methods (e.g., discounted cash flow, comparable company multiples).
• Experience building or working with financial and valuation models in Excel (through work, internship, course, or professional qualification).
• Understanding of how the three financial statements connect.
• Ability to spot when financial data doesn't add up.
• Comfortable reading company reports, results, and research, and relating them to a model.
• Strong Excel skills, including checking and tracing formulas.
• Exceptional attention to detail.
• Clear, concise written and verbal communication in English.
• Comfortable working from the office most days.

Preferred

• Finance:
• Any further finance qualification or certification.
• Experience in equity research, investment banking, corporate finance, M&A, private equity, valuation advisory, or financial research.
• Knowledge of how different sectors are analyzed and valued.
• Personal interest in markets and investing.

Good to Have

• Technology & AI:
• Experience using Claude, ChatGPT, or similar AI tools.
• 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

• Competitive salary.
• Opportunity to apply finance expertise to building AI-powered financial products.
• Direct exposure to sell-side research analysts at global investment banks.
• Broad view of how professional analysts forecast and value companies across sectors and geographies.
• A collaborative team environment where contributions are visible and recognized.
• Rapid growth and development of AI and technology skills on a finance foundation.
• Investment in the Bengaluru team from London leadership.