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Financial Analyst

Help companies figure out where to put their money

₹13.6L – ₹19.3Lpar an · estimation pour Inde
⏱ 6–12 months🧭 Intermediate🗺️ 3 mondes · 7 missions

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Niveau 1 · Curieux
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0 missions sur 7 faites

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Ce métier est-il fait pour vous ?

Deux minutes avant d’y consacrer des mois

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Les compétences que vous en tirerez

Financial modelingExcelAccountingValuationData analysisCommunication

Les emplois auxquels il mène

  1. Junior Financial Analyst
  2. Equity Research Analyst
  3. Corporate FP&A Analyst
  4. Investment Analyst

Avant de commencer

  • ✓ Basic math & accounting knowledge
  • ✓ Strong Excel skills (or willing to learn)

7 missions jusqu’à Financial Analyst

3 mondes, 7 missions. Touchez un cercle pour l’ouvrir ; celui qui brille est le suivant.

Monde 1

Accounting Fundamentals

4–6 weeks

0/2

Learn how financial statements work.

Pas commencé
Compétences de cette phase
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Monde 2

Financial Modeling in Excel

5–8 weeks

0/3

Learn to build models companies actually use.

Pas commencé
Compétences de cette phase
Coffre : badge du monde 2Terminez le monde 2 pour l’ouvrir
Monde 3

Industry & Certification

Ongoing

0/2
Coffre : badge du monde 3Terminez le monde 3 pour l’ouvrir

En savoir plus sur ce métier

Le métier, le salaire là où vous vivez, les questions fréquentes, et où ce métier peut vous mener ensuite.

Le métier

Ce que vous feriez

  • Research investments and recommend which to make
  • Evaluate current and past financial data
  • Study economic and business trends
  • Examine a company's financial statements to judge its value and growth prospects
  • Use financial models to solve financial problems and assess the impact of deals
  • Prepare written reports and presentations

Où vous travailleriez

  • Investment and securities firms (about 24% of US financial and investment analysts)
  • Professional, scientific and technical services (about 14% in the US)
  • Banks and other lenders (about 12% in the US)
  • Company head offices (about 11% in the US)
  • Insurance companies (about 6% in the US)

Orientations possibles

  • Financial and investment analysis (rating and recommending investments)
  • Financial risk (measuring exposure to credit and market risk)

Toutes les étapes en détail

Le texte complet de chaque étape, à lire ou à imprimer. Avancez étape par étape dans le parcours ci-dessus.

Accounting Fundamentals 2 étapes
  1. Three Statement Accounting

    Master the holy trinity of financial statements and understand the mechanics of how they link together.

    Tâche concrète: Download Apple's latest 10-K from the SEC EDGAR database. Trace Net Income manually to the Retained Earnings on the Balance Sheet and to the top line of the Cash Flow Statement.

    Pourquoi c’est important: All financial modeling relies on historical accounting data. If you don't grasp how statements interlink naturally, your models will never balance.

    Liste de contrôle

    • Deconstruct the Income Statement (Revenue down to Net Income).
    • Analyze the Balance Sheet and its governing equation (Assets = Liabilities + Equity).
    • Break down the Cash Flow Statement into Operating, Investing, and Financing activities.
    • Map out exactly how Net Income flows into retained earnings and the cash flow statement.
    • Understand the impact of depreciation on both the income and cash flow statements.
    Ouvrir cette étape ↑
  2. Accounting Principles & Revenue Recognition

    Learn the foundational rules that dictate when and how money is officially counted.

    Tâche concrète: Review a real SaaS company's earnings report. Identify their deferred revenue balance and write one paragraph explaining why their recognized revenue differs from cash collected.

    Pourquoi c’est important: Companies can manipulate their reported earnings through accounting practices. Knowing what is a non-cash adjustment versus an actual operational cash drain prevents bad analyses.

    Liste de contrôle

    • Differentiate between GAAP (US) and IFRS (International).
    • Understand the matching principle and the difference between accrual accounting and cash accounting.
    • Analyze working capital and how changes in it affect operating cash flow.
    • Identify the criteria for proper depreciation and amortization schedules.
    • Learn how to spot aggressive revenue recognition or non-cash adjustments.
    Ouvrir cette étape ↑
Financial Modeling in Excel 3 étapes
  1. Advanced Excel for Finance

    Turn Excel from a spreadsheet tool into a high-speed analytical engine by mastering keyboard-only workflows and dynamic functions.

    Tâche concrète: Take 5 years of messy historical financial data and re-format it entirely without using the mouse, building a clean, standardized summary dashboard.

    Pourquoi c’est important: Speed and accuracy in Excel are the absolute baseline expectations in corporate finance and banking. Navigating strictly with the keyboard makes you 3x faster.

    Liste de contrôle

    • Master essential keyboard shortcuts to entirely eliminate mouse usage.
    • Implement advanced lookups: INDEX/MATCH, XLOOKUP, and OFFSET.
    • Utilize sensitivity analysis tools: Data Tables, Goal Seek, and Scenario Manager.
    • Format models properly (blue text for hardcodes, black for formulas, green for external links).
    • Use pivot tables to quickly summarize large datasets.
    Ouvrir cette étape ↑
  2. 3-Statement Modeling

    Build dynamic, interconnected models projecting a company's future operating performance based on historical data and driver assumptions.

    Tâche concrète: Build a rolling 5-year 3-statement forecast model for a mid-cap consumer goods company from scratch, ensuring the balance sheet balances perfectly every projected year.

    Pourquoi c’est important: The 3-statement model is the backbone of FP&A and equity research. Executives make multi-million dollar hiring, budgeting, and acquisition decisions based on these projections.

    Liste de contrôle

    • Construct historical trailing twelve months (TTM) financial summaries.
    • Forecast revenue growth and expense margins using historical trend lines.
    • Build a working debt schedule and a detailed depreciation (PP&E) schedule.
    • Integrate the three statements so that they dynamically forecast 5 years out.
    • Balance the balance sheet securely using a cash plug without circular references.
    Ouvrir cette étape ↑
  3. Valuation Techniques (DCF & Comps)

    Determine the intrinsic and relative value of a company using the industry's default methodologies.

    Tâche concrète: Perform a complete DCF valuation on a publicly traded tech stock and determine if it is currently overvalued or undervalued relative to its market price.

    Pourquoi c’est important: Valuation defines stock prices, IPO sizing, and startup funding rounds. This translates qualitative business potential into a hard, defensible numeric value.

    Liste de contrôle

    • Calculate a company's Weighted Average Cost of Capital (WACC).
    • Project unlevered free cash flows (UFCF) over a forecast period.
    • Calculate Terminal Value using both perpetuity growth and exit multiple methods.
    • Understand the mechanics of a Discounted Cash Flow (DCF).
    • Perform Comparable Company Analysis (spreading comps) finding EV/EBITDA multiples.
    Ouvrir cette étape ↑
Industry & Certification 2 étapes
  1. Sector Specialization & Thesis Writing

    Develop deep domain expertise in a specific industry and learn to communicate complex investment ideas clearly in writing.

    Tâche concrète: Write a 2-page stock pitch memo for a retail stock, stating a clear 'Buy/Hold/Sell' recommendation backed by 3 quantitative drivers and an assessment of key risks.

    Pourquoi c’est important: The best analysts do more than crunch numbers; they tell a compelling story backed by data. Clear memos are how you convince portfolio managers or corporate executives to allocate capital.

    Liste de contrôle

    • Select and study a specific sector (e.g., SaaS, Healthcare, Real Estate).
    • Read 5-10 initiating coverage equity research reports to understand the tone.
    • Formulate a distinct investment thesis (buy/hold/sell) based on your chosen firm.
    • Write concise, evidence-based investment memos targeting portfolio managers.
    • Identify key macroeconomic risks associated with your sector.
    Ouvrir cette étape ↑
  2. Certifications & Networking

    Break into the notoriously competitive finance industry by validating your knowledge through exams and proactively building relationships.

    Tâche concrète: Reach out to 5 alumni from your school currently working as financial analysts to set up 15-minute informational coffee chats, and aim to clear the SIE exam within 3 months.

    Pourquoi c’est important: Professional exams prove your baseline quantitative competence, while aggressive networking is often the only route to unlock the 'hidden job market' where analyst roles are filled.

    Liste de contrôle

    • Assess readiness and register for the SIE (Securities Industry Essentials) exam or CFA Level 1.
    • Conduct informational interviews with analysts working at target asset management or IB firms.
    • Optimize your LinkedIn profile emphasizing quantitative rigor over vague soft skills.
    • Curate a portfolio containing your 3-statement models, DCFs, and best stock pitch memos.
    • Publish your analyses on a blog or Substack to build a public track record of thought leadership.
    Ouvrir cette étape ↑

Questions fréquentes : Financial Analyst

Des réponses claires sur la durée, les prérequis, les salaires et les méthodes d’étude.

Combien de temps faut-il pour devenir Financial Analyst ?

Ce parcours estime 6–12 months. Il compte 3 phases et 7 étapes, de « Accounting Fundamentals » à « Industry & Certification ».

Comment devenir Financial Analyst ?

Suivez les 3 phases dans l’ordre, en commençant par la phase 1, « Accounting Fundamentals ». Votre première tâche : Download Apple's latest 10-K from the SEC EDGAR database. Trace Net Income manually to the Retained Earnings on the Balance Sheet and to the top line of the Cash Flow Statement.

Combien gagne un Financial Analyst ?

Le salaire dépend du pays. L’encadré salaire de cette page indique l’estimation de DraftMyCareer, en monnaie locale, pour le pays choisi dans le menu.

De quoi ai-je besoin avant de commencer ?

Ce parcours indique : Basic math & accounting knowledge; Strong Excel skills (or willing to learn).

De quelles compétences un Financial Analyst a-t-il besoin ?

Ce parcours couvre : Financial modeling, Excel, Accounting, Valuation, Data analysis, Communication.

Changer de métier : passerelles vers ce poste et depuis ce poste

Voir toutes les reconversions →

Évolutions et changements de poste possibles

  • Backend Developer

    FinTech and banking tech firms pay top-of-market compensation for backend engineers who naturally understand ledgers, transactions, and regulatory constraints.

    ⏱ 8–12 months (8 Months to 1 Year)🧭 Moderate

    Ce que vous apprendriezBackend Programming (Java, Python, or Go) · ACID Database Transactions & Row-Level Locking (PostgreSQL) · FinTech API Architecture (Stripe, Plaid, Webhooks)

    Voir le plan d’action
    1. Month 1–3: Core Programming & Object-Oriented Design Learn Python or Java fundamentals, focusing on data structures, strong typing, and arithmetic precision for monetary values (BigDecimal).
    2. Month 4–6: Financial Database Schemas & ACID SQL Master PostgreSQL transactions, isolation levels (Serializable/Read Committed), and double-entry bookkeeping ledger tables in SQL.
    3. Month 7–9: Payment APIs, Webhooks & Idempotency Build secure payment processing REST endpoints with cryptographic signature verification, idempotency keys, and audit logs.
    4. Month 10–12: FinTech Backend Capstone & Interviewing Build and deploy a mock banking ledger or wallet service API on AWS and target high-paying FinTech backend developer positions.
  • Data Scientist

    Combine financial domain acumen with state-of-the-art machine learning in FinTech and hedge funds.

    ⏱ 5–8 months🧭 Moderate

    Ce que vous apprendriezPython & Data Science Libraries · Machine Learning for Time Series · SQL & Distributed Querying

    Voir le plan d’action
    1. Month 1–2: Python Programming & SQL Transition spreadsheet models to Python scripts, pandas DataFrames, and relational databases.
    2. Month 3–4: Statistical & Machine Learning Implement regression, tree ensembles (XGBoost), and time-series forecasting (ARIMA/Prophet).
    3. Month 5–8: Quantitative Portfolio Projects Build algorithmic trading simulations, credit risk scoring models, and fraud detection systems.
  • US CPA / Chartered Accountant

    Licensed CPAs hold gold-standard credentials unlocking partner tracks, CFO paths, and independent practice.

    ⏱ 6–12 months🧭 Moderate

    Ce que vous apprendriezCPA Exam Core Sections (AUD, FAR, REG) · Taxation Law & Compliance · Forensic Accounting

    Voir le plan d’action
    1. Month 1–4: FAR & AUD Preparation Master financial accounting standards, government accounting, and audit procedures.
    2. Month 5–8: REG & Discipline Specialization Cover federal tax laws, business law ethics, and pass remaining exam modules.
    3. Month 9–12: Licensing & Experience Complete state board required work experience and secure official CPA license.