Konstantin D.
Quantitative Data Scientist
Experience
Risk Analyst Intern
BNP Paribas PF
- Performed exhaustive credit risk assessments to discern potential hazards within the organization, employing advanced analytical methodologies.
- Formulated and executed precise risk mitigation strategies, fostering synergy with multidisciplinary teams to optimize operational efficacy.
- Designed a data-informed strategy to improve graduate talent matching between a university and a leading financial institution.
Logistics Assistant in the Supply Chain Department
GXO
- Tasked with routine responsibilities as an assistant to the account manager for clients.
Assistant in the Department of Sales and Strategies
ZK Lev Insurance
- Assisted account managers in servicing corporate and individual insurance portfolios and claim updates.
Summary
As an individual, I embody strong organization and discipline. I have a strong foundation in statistics, mathematics, and risk management, complemented by robust experience in data analysis and market modeling. Highly disciplined and detail-oriented, I thrive in environments where precision, speed, and problem-solving are critical.
My academic work focuses on understanding and forecasting default risk and macro-financial dynamics, including applying machine learning and logistic regression to large loan-level datasets. I’ve also led applied consulting projects involving stakeholder coordination, data-driven recommendations, and strategic planning.
Eager to contribute in fast-paced, technically demanding environments such as market making and electronic trading, where analytical sharpness, teamwork, and decision-making under pressure are key.
Languages
Education
Eindhoven University of Technology
Industrial and Applied Mathematics · Eindhoven, Netherlands
Tilburg University
Master's in Finance · Finance · Netherlands
- MAster's thesis: Build predictive models of credit market behaviour across P2P and traditional banking sectors, by means of machine learning methods, identifying nonlinear effects of macroeconomic conditions and soft information on default risk.
- Analyzed quarterly earnings call transcripts from six global firms using natural language processing and unsupervised learning.
- Modeled price of European options on General Motors stock using both simulation and closed-form methods.
Tilburg University
Bachelor’s in International Business Administration · International Business Administration · Netherlands
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