Hire the Best Quantitative Finance Freelancers in Belgrade, RS

I am a financial and data analyst specializing in quantitative analysis, market research, econometrics, and machine learning. During my analyst internship at Bloomberg, I worked with financial, economic, and market data to prepare reports on central-bank policy, GDP, inflation, PMI indicators, commodities, stock indices, and corporate performance. I gained hands-on experience using the Bloomberg Terminal for market research, economic monitoring, company analysis, and financial-data retrieval. I have also worked extensively with data from Eurostat, FRED, the World Bank, national statistical offices, central banks, and other public economic databases. My work included collecting, cleaning, comparing, and interpreting macroeconomic and financial time series. I analyzed publicly listed companies and stock markets, including dividend yields, payout ratios, index returns, market trends, and company performance. My quantitative projects include credit-risk modeling, banking-transaction fraud detection, statistical analysis in R and Python, financial time-series analysis, and the development of applications using Java and MySQL. My technical skills include Python, R, SQL, MySQL, Java, EViews, Excel, Bloomberg Terminal, data cleaning, data visualization, classification models, econometric analysis, financial research, and analytical writing. I can help with financial data analysis, market and investment research, economic reports, machine-learning projects, statistical modeling, data visualization, and the clear presentation of complex findings. I am detail-oriented, reliable, and able to turn raw financial and economic data into practical, well-structured insights.

As an experienced data scientist, I leverage advanced data analytics and predictive modeling to drive sales growth and optimize promotional strategies in the FMCG sector. Skilled in utilizing machine learning algorithms and time-series models, to assess and predict sales performance. I also create optimizations for policy targets and define methodologies for uplift measurement. Specialized in analyzing the effectiveness of promotional campaigns and rebate strategies to enhance revenue and align with sales goals. In spare time, I am an investor focusing on stock market and financial-derivatives CBOE. I create portfolios for my clients based on modelling skills I have, to predict price movement and its magnitude. Experienced in: Python, R, SPSS, SQL, SSMS, Teradata, Oracle Communication is very important to me, so lets keep in touch to ensure projects run smoothly Looking forward to hearing from you!

As the founder of a solopreneur startup, I focus on groundbreaking research in quantitative energy finance and the development of sophisticated mathematical trading algorithms. With a Master's degree in Finance (Quantitative and Factor Investing) from Universität Liechtenstein (CH) and a Master's degree in Mathematics from The Open University (UK, Pure and Applied with an emphasis on Analytical, Algebraic, and Probabilistic Number Theory and Advanced Mathematical Methods), I bring a robust quantitative academic foundation. My competencies encompass mathematical and scientific programming, tailored to the intricate demands of quantitative energy, operations research, mathematical finance, and advanced machine learning and data science. Bridging advanced mathematical programming with quantitative finance, I am in constant pursuit of intellectually challenging work and innovation. My expertise in mathematics, algorithms, and machine learning for trading, risk, and consulting purposes not only expands clients' strategic capabilities but also underscores my commitment to extreme innovation thinking. I leverage this expertise to enhance operational research and algorithmic solutions, ensuring my clients' position at the forefront of the market's evolution.