Nicola Chimenti

Quantitative Finance Developer & Business Analyst
+39 3898232611 | nicola.chimenti.work@gmail.com | Viareggio, Italy

Profile Summary

Final-year Business Management university student specializing in Digital Economics, combining expertise in economic and financial sciences with technical skills. Over 5 years of experience developing quantitative trading algorithms and automated financial analysis systems. Sole proprietor specializing in financial consulting, business analysis, and software development for finance sector. Skilled in macroeconomic analysis, investment evaluation, financial risk management, and transforming theoretical economic models into practical algorithmic applications.

Core Competencies

Economic-Financial Skills

Macroeconomic Analysis | Financial Modeling | Investment Evaluation | Risk Management | Financial Market Analysis | Portfolio Theory | Applied Econometrics | Corporate Finance | Financial Statement Analysis | Financial Due Diligence

Business Analysis & Strategy

Business KPI Analysis | Business Intelligence | Project Feasibility Assessment | Strategic Planning | Financial Planning & Analysis | Cost-Benefit Analysis | Market Research | Performance Measurement | Process Optimization

Quantitative & Technical Skills

Python (Pandas, NumPy, Scipy) | R Studio | MQL4/MQL5 | Statistical Analysis | Time Series Analysis | SQL | Excel Financial Modeling | VBA | Algorithmic Trading | Mean Reversion Strategies | Volatility Trading | Inter-market Correlation Analysis

Development & Tools

Backtesting Frameworks | Risk Management Systems | Financial Data APIs | API Integration | C# | C++ | JavaScript | HTML5 & CSS3

Online Presence

Professional Profiles

Fiverr: fiverr.com/sellers/teknonicola
30+ positive reviews for financial software development
LinkedIn: linkedin.com/in/nicolachimenti

Technical Portfolio

GitHub: github.com/TeknoTrader
Python web apps for financial-economic analysis
MQL5: mql5.com/en/users/teknotrader
Trading software distributed in 100+ countries

Work Experience

Proprietary Trader

MyForexFunds, FundedNext, City Traders Imperium | 2021 - 2024
  • Successfully passed evaluation phases and managed funded trading accounts for multiple proprietary trading firms over 3 years
  • Developed and implemented hybrid trading strategies combining discretionary analysis (fundamental analysis as filter, price action as operational trigger) and algorithmic approaches
  • Specialized in algorithmic trading strategies based on news releases, mean-reverting properties of FOREX markets and volatility indices (VIX), volatility breakout strategies on equity markets
  • Used often spread trading strategies exploiting inter-market correlations to reduce portfolio volatility and identify arbitrage opportunities through market misalignments
  • Advanced risk management strategies involved
  • Currently resuming professional trading activity with personal accounts, applying refined strategies developed during prop trading experience

Founder & Financial Technology Consultant

Sole Proprietorship | Italy | 2022 - Present | VAT: 02674000464
  • Developing customized software solutions for financial-economic analysis and quantitative trading using Python, R, and MQL4/5
  • Specialized consulting in financial modeling, risk evaluation, and implementation of algorithmic investment strategies
  • Business KPI analysis, business intelligence, and economic evaluation of investment projects
  • Financial due diligence and performance analysis for client companies
  • 30+ positive reviews on international platforms for financial consulting services

Quantitative Research Developer

GitHub & MQL5 Community | 2021 - Present
  • Developing open-source quantitative trading algorithms focused on econometric analysis and risk management
  • Creating Python web applications for macroeconomic analysis and financial data visualization
  • Publishing quantitative trading software on MQL5 marketplace with distribution in 100+ countries
  • Active contributor to open-source financial community with applied econometrics projects

Education

Bachelor's Degree in Business Management - Digital Economics Track
Universitas Mercatorum | Italy | Graduation expected July 2025
Thesis: "Quantitative Methods for Big Data" - Quantitative analysis for investment strategy development based on correlation between interest rates and stock indices (S&P500, implemented in R)
High School Diploma in Applied Sciences
Liceo Scientifico Barsanti e Matteucci | Italy | 2020

Languages & Interests

Languages

Italian: Native | English: B2 | Russian: B1 | Spanish: A2

Key Interests

Macroeconomic Analysis | Behavioral Finance | Applied Econometrics | Competitive Chess (3 national championships) | Kick Boxing | Algorithmic Problem Solving