Ali AZARY

Quantitative Analyst | Risk & Fund Analytics | Valuation

📞 +352 661 86 5520 | ✉️ contact@aliazary.com | 🌍 www.aliazary.com

💻 github.com/ali-azary | 🔗 linkedin.com/in/ali-azary | 📍 Luxembourg

Professional Summary

Finance and valuation analyst with an MSc in Finance and Economics — Risk Management and Luxembourg fund-industry experience across fund data, NAV monitoring, exposure analysis, CSSF/AIFMD reporting workflows and automation. I build risk, fund, valuation and portfolio analytics, ETL pipelines, dashboards and reporting workflows that turn messy financial data into clear decisions using Python, SQL, Excel/VBA, Bloomberg, Power BI and web dashboards.

Experience

05/2024 – Present

Founder & Developer

PyQuantLab, Luxembourg

Luxembourg-based quantitative finance platform for finance books, valuation/risk tools and research systems.

  • Authored and published practical finance books and guides on Private Equity Valuation, SQL for Finance, AIFMD Reporting, Algorithmic Trading, and related finance topics.
  • Built fund and risk analytics products including market-risk analytics, portfolio analysis modules, AIFMD reporting workflows, strategy research tools and automated reporting packs for finance users.
  • Developed Python, SQL and Excel workflows for data ingestion, validation, reconciliation, portfolio analytics and report generation, with production-grade delivery through pyquantlab.com.
  • Developed a production e-commerce and licensing backend in PHP, SQLite and Stripe with secure file delivery, automated emails, customer dashboard and affiliate tracking.
02/2025 – 07/2025

Fund Data & Analytics Consultant

Innpact, Luxembourg

Impact-finance advisory firm supporting impact funds and UCITS/AIF vehicles across Luxembourg.

  • Built end-to-end Python ETL pipelines using pandas, SQL and openpyxl to automate fund data ingestion, validation and reconciliation across multiple impact funds, reducing recurring reporting turnaround by roughly 60%.
  • Designed standardized web-based intake forms to replace ad-hoc spreadsheet exchanges, materially cutting data-entry errors and improving auditability for CSSF reporting.
  • Built and maintained interactive dashboards used daily by the fund management team for NAV monitoring, exposure analysis and KPI reporting.
  • Cleaned, reconciled and re-modeled legacy Excel/VBA datasets; documented workflows so the pipelines could be maintained by non-developers after handover.
01/2019 – 02/2021

Doctoral Researcher

University of Luxembourg, Luxembourg

  • Performed finite-element analyses of composite beam-column joints and translated results into peer-reviewed publications.
  • Automated ABAQUS simulation workflows in Python for parametric studies, cutting setup time per experiment from hours to minutes and enabling reproducible research.

Technical Skills

Valuation: Private equity and private company valuation; DCF; comparable companies; precedent transactions; LBO logic; WACC; terminal value; calibration to entry price; scenario and sensitivity analysis; valuation model review.
Funds & Reporting: NAV analytics; AIFMD/UCITS reporting; CSSF reporting workflows; exposure and KPI reporting; fund data validation; audit trail design; reconciliation.
Risk & Analytics: VaR, Expected Shortfall, stress testing, scenario analysis, market/credit/liquidity risk, portfolio construction, factor models, Monte Carlo simulation.
Tools: Excel, VBA, SQL, Python (pandas, NumPy, scikit-learn, openpyxl, Plotly, FastAPI), Bloomberg, Power BI, Git, Word, PowerPoint.

Education

Graduated 02/2026

MSc, Finance and Economics — Risk Management

University of Luxembourg, Luxembourg

01/2019 – 02/2021

PhD Candidate, Engineering Sciences

University of Luxembourg, Luxembourg

09/2014 – 02/2017

MSc, Civil Engineering

Middle East Technical University, Turkey

09/2008 – 04/2012

BSc, Civil Engineering

University of Tehran, Iran

09/2005 – 07/2008

BSc, Aerospace Engineering

Sharif University of Technology, Iran

Selected Projects

AIFMD Reporting Toolkit

Python/SQL workflow for fund data checks, exposure metrics, validation rules and reporting output preparation.

Market Risk Analytics Pack

Python analytics pack covering VaR, Expected Shortfall, stress testing, scenario analysis and portfolio drawdown analytics.

PortfolioLab / MPTLab (Live) (GitHub)

Portfolio analytics and optimization dashboards with allocation, risk, return and visualization modules.

Excel–SQL Database Automation (GitHub)

VBA and Python toolkit converting spreadsheet-based workflows into queryable SQL back-ends with refreshable reports.

Investment Portfolio Management Dashboard (GitHub)

Python/Plotly dashboard for multi-asset portfolios, live price feeds, risk metrics, rebalancing and attribution.

Equity Explorer (Live)

Financial data web application for equity screening and analysis.

yf_api (GitHub)

FastAPI service exposing yfinance data endpoints for reusable financial data workflows.

Languages