Pablo Azaretzky

Finance portfolio

Photo of Pablo Azaretzky

Pablo Azaretzky

I turn financial data into decisions: valuation, planning and the tools that automate them.

Open to FP&A, corporate finance and investment roles in the Netherlands · Amsterdam, Netherlands

See the projectsGet in touchLinkedIn ↗
Experience
10+ years
FP&A, investment analysis and real estate
Closing time
−30%
at National Shipping, automating reporting in Excel + Power BI
Variance report
4–6h → min
monthly pack for a client, automated with Python
Languages
EN · ES
fluent; EU citizen, no sponsorship needed

About · Who I am

Finance professional with 10+ years across FP&A, investment analysis and real estate. I have run budgeting and forecasting cycles, built KPI dashboards and evaluated acquisitions with NOI, IRR and NPV, in industries as different as shipping, real estate private equity, consulting and wealth management, in Argentina and Australia.

Today I live in the Netherlands. My latest project was automating a client’s monthly variance report: the SAP export goes into Python, which calculates the variances and flags the main drivers, and an AI model drafts the commentary that the analyst reviews and edits. What took 4–6 hours every close now runs in minutes, and that time goes into root causes and forecast assumptions instead.

This site collects tools I built to show how I work. Each one runs on a real model, not a mock-up.

Projects · Tools I built

FP&A & KPI Dashboards preview

FP&A & KPI Dashboards

Live

Budget, actuals and the story behind the variance.

Monthly budget control for a fictional 8-vessel shipping company: P&L budget vs actual, fleet KPIs, an EBITDA bridge, a full-year outlook, three linked statements with a 13-week cash forecast, scenario levers and a Monte Carlo of liquidity.

  • ▸P&L cascade budget vs actual, by month or year to date
  • ▸EBITDA bridge: rates, off-hire, crew, running cost, G&A
  • ▸Fleet KPIs: utilization, TCE/day, running cost per vessel-day
  • ▸Outlook (actual + forecast) and automated variance commentary
  • ▸P&L, balance sheet and cash flow that reconcile, with 6 integrity checks
  • ▸13-week cash vs minimum liquidity: scenario levers, 1,000 simulations, CFO briefing
BudgetingForecastingKPIsAutomation
Open the tool →
Equity Valuation preview

Equity Valuation

Live

What is a listed company worth?

Type a ticker and get a full valuation: the model pulls trailing financials, builds a five-year DCF and checks it against trading multiples.

  • ▸DCF with WACC from CAPM, Gordon terminal value and growth capped by reinvestment × ROIC
  • ▸Trading comps: EV/EBITDA, EV/Revenue, P/E, P/Book
  • ▸WACC × g sensitivity table and football field
  • ▸Excel export of the results
  • ▸Automated watchlist: 15 companies revalued every trading day, with alerts, plus your own tickers
  • ▸Portfolio optimizer: efficient frontier with Markowitz and Black-Litterman, using the model gaps as views
See the automated watchlist →
DCFWACCCompsPython
Open the tool →
Real Estate Valuation preview

Real Estate Valuation

Live

Is this listing worth the asking price?

Search listings on Idealista, Funda, Zillow or Zonaprop, bring back price, size and rent, and get the yield, IRR and the maximum price to pay for your target return.

  • ▸Search links to Idealista, Fotocasa, Funda, Pararius, Zillow, Zonaprop and Argenprop
  • ▸Market presets: 2026 transfer taxes, costs and corporate tax
  • ▸Bank loan, operating costs, tax and exit at a cap rate
  • ▸IRR, cash-on-cash and the maximum price for your target
  • ▸Valuation four ways: cap rate, 10-year DCF, residual land value, comparables
NOICap rateIRRResidual
Open the tool →
Bond Analytics preview

Bond Analytics

Live

How much does a bond move when rates do?

Enter a fixed-rate bond, or start from a US Treasury at today’s yield, and get price and yield both ways, duration, convexity and what a rate shock does to the price.

  • ▸Clean and dirty price, accrued interest, yield to maturity and current yield
  • ▸Macaulay and modified duration, convexity and DV01
  • ▸Price-yield curve: actual price vs the duration and duration + convexity estimates
  • ▸Rate scenarios from −200 to +200 bp and the live US Treasury curve
  • ▸Argentine sovereign bonds (NY and local law): yield, duration and spread over Treasuries
Fixed incomeDurationConvexityYTM
Open the tool →
Options Analytics preview

Options Analytics

Live

What is an option worth, and what moves its price?

Type a US ticker and get the live option chain: chart any contract, price it with Black-Scholes against the market, read the Greeks and the volatility smile, and see the payoff of common strategies.

  • ▸Option chain with bid/ask, volume, open interest and implied volatility solved with Black-Scholes
  • ▸Price history of any contract next to the underlying
  • ▸Black-Scholes price vs market, Greeks (delta, gamma, theta, vega, rho) and probability of finishing in the money
  • ▸Volatility smile and payoffs for calls, puts, covered calls, spreads, straddles and strangles
Black-ScholesGreeksImplied volDerivatives
Open the tool →

Experience · Track record

  1. FP&A Analyst · SABA Holdings Corporation

    2023 – 2025

    Real estate private equity · Sydney, Australia

    FP&A support to the investment team: financial reporting, KPI tracking and investment models for premium office properties.

  2. FP&A Senior Specialist · National Shipping SA

    2021 – 2023

    Shipping · Buenos Aires, Argentina

    Owned budgeting and forecasting. Automated reporting in Excel and Power BI, cutting closing time by 30%. Evaluated the acquisition of three corporate offices with NOI, IRR and NPV.

  3. Financial Advisor · FEIMPORT SA

    2019 – 2021

    Wealth management · Buenos Aires, Argentina

    Managed investment portfolios, monitored risk and prepared P&L reporting.

  4. FP&A Senior Analyst · HAPSA

    2017 – 2019

    Buenos Aires, Argentina

    Designed KPI dashboards, led financial planning and ran profitability analysis.

  5. FP&A Analyst · Accenture

    2015 – 2017

    Consulting · Buenos Aires, Argentina

    Quarterly forecasting and monthly close, consolidating financials for regional projects.

  6. Property Manager · Business Development Analyst · Manage Solution · Giselle Textil

    2011 – 2015

    Buenos Aires, Argentina

    Property budgets and cost optimisation; product-line profitability and market expansion analysis.

Education

  • Master in Finance

    Universidad Torcuato Di Tella · 2012 – 2013

  • Bachelor in Economics

    Universidad Nacional de Cuyo · 2003 – 2009

Toolkit

Budgeting & forecastingVariance analysisFinancial modelingDCF & comparablesReal estate (NOI, IRR, cap rates)KPI dashboardsExcelPower BIPythonSQLSAP

Contact · Hiring or consulting

I am open to FP&A, corporate finance and investment roles in the Netherlands, and to consulting work: valuations, budgets, forecasting models and reporting automation. Leave a message and I will reply within two working days.