Сервис поиска работы №1 в Украине
Danylo
Finance manager
- Рассматривает должности:
- Finance manager, Accountant, Risk manager
- Возраст:
- 21 год
- Город проживания:
- Харьков
- Готов работать:
- Удаленно
Контактная информация
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Danylo Malieiev
Economics & Finance Undergraduate | Seeking Summer 2026
Internship in Finance
[открыть контакты ](см. выше в блоке «контактная информация») [открыть контакты ](см. выше в блоке «контактная информация») Bologna, Italy LinkedIn
PROFILE
Highly analytical Economics & Finance undergraduate at the University of Bologna with a strong
background in corporate valuations and quantitative modeling. Proven ability to build data-
driven financial frameworks using Python and statistical techniques. Looking to utilize academic
background, quantitative skills, and dedication to strategic financial analysis to deliver
actionable insights in a corporate finance role.
EDUCATION
BSc in Economics and Finance 09/2023 – Present
University of Bologna Bologna, Italy
Relevant Coursework: Statistics, Econometrics, Corporate Finance,
•
International Finance, Financial Economics.
Academic Focus: Markowitz portfolio theory, DCF valuation, Capital
•
Budgeting, Regression Analysis.
BSc in Artificial Intelligence 09/2022 – Present
Kharkiv National University of Radio Electronics Remote
Relevant Coursework: Machine Learning, Data Structures & Algorithms,
•
Object-Oriented Programming, Advanced Linear Algebra, Probability
Theory.
Academic Standing: Current Average: 82.5/100 (Top 15% of cohort,
•
ranked 27/200).
PROJECTS
Quantitative Equity Pricing & ML Trading Framework 10/2025 – Present
Ongoing Thesis Research
Developing a quantitative backtesting engine in Python (Pandas,
•
NumPy) to identify statistical mispricing and fundamental anomalies in
Equities/FX markets.
Implementing machine learning classification models (CatBoost) to filter
•
false signals, optimize execution logic, and improve predictive accuracy
of asset valuation.
Applying Monte Carlo simulations to model portfolio risk, forecast
•
probability distributions of returns, and stress-test the strategy under
extreme market regimes.
Engineering an event-driven execution module to evaluate strategy
•
robustness across institutional metrics (Sharpe ratio, CAGR, Max
Drawdown).
SKILLS
Programming & Data Analysis
Python (ML based Trading Models, Stochastic Modeling of Market Data), R (Regression Analysis,
Statistical Modeling)
Financial Tools
Microsoft Excel (Financial Modeling, Valuation), PowerPoint (Pitchbooks, Presentations)
Languages
English (Proficient), Italian (B1), Russian/Ukrainian (Native)
Danylo Malieiev [открыть контакты ](см. выше в блоке «контактная информация»)
Economics & Finance Undergraduate | Seeking Summer 2026
Internship in Finance
[
PROFILE
Highly analytical Economics & Finance undergraduate at the University of Bologna with a strong
background in corporate valuations and quantitative modeling. Proven ability to build data-
driven financial frameworks using Python and statistical techniques. Looking to utilize academic
background, quantitative skills, and dedication to strategic financial analysis to deliver
actionable insights in a corporate finance role.
EDUCATION
BSc in Economics and Finance 09/2023 – Present
University of Bologna Bologna, Italy
Relevant Coursework: Statistics, Econometrics, Corporate Finance,
•
International Finance, Financial Economics.
Academic Focus: Markowitz portfolio theory, DCF valuation, Capital
•
Budgeting, Regression Analysis.
BSc in Artificial Intelligence 09/2022 – Present
Kharkiv National University of Radio Electronics Remote
Relevant Coursework: Machine Learning, Data Structures & Algorithms,
•
Object-Oriented Programming, Advanced Linear Algebra, Probability
Theory.
Academic Standing: Current Average: 82.5/100 (Top 15% of cohort,
•
ranked 27/200).
PROJECTS
Quantitative Equity Pricing & ML Trading Framework 10/2025 – Present
Ongoing Thesis Research
Developing a quantitative backtesting engine in Python (Pandas,
•
NumPy) to identify statistical mispricing and fundamental anomalies in
Equities/FX markets.
Implementing machine learning classification models (CatBoost) to filter
•
false signals, optimize execution logic, and improve predictive accuracy
of asset valuation.
Applying Monte Carlo simulations to model portfolio risk, forecast
•
probability distributions of returns, and stress-test the strategy under
extreme market regimes.
Engineering an event-driven execution module to evaluate strategy
•
robustness across institutional metrics (Sharpe ratio, CAGR, Max
Drawdown).
SKILLS
Programming & Data Analysis
Python (ML based Trading Models, Stochastic Modeling of Market Data), R (Regression Analysis,
Statistical Modeling)
Financial Tools
Microsoft Excel (Financial Modeling, Valuation), PowerPoint (Pitchbooks, Presentations)
Languages
English (Proficient), Italian (B1), Russian/Ukrainian (Native)
Danylo Malieiev [
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