Andrii

Andrii (Andrew) Kolenchenko
New Westminster, BC, Canada | [open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section) | LinkedIn
Quantitative Risk Analyst| Data Scientist | BSc in Econometrics & Operations Research

Quantitative Risk Analyst with 2+ years of hands-on experience using data science, ML & AI, statistical analysis, and A/B
testing to monitor online casino platforms to prevent fraud as they happen. Holds a BSc in Econometrics & Operations
Research, majoring in Quantitative Finance, which gives me a solid grounding in quantitative modelling, risk analysis, and
making data-driven decisions

SKILLS
Programming Languages: Python, SQL, Java, MATLAB, KDB+/ Q, RStudio
Hard Skills: Python, SQL, Data Analysis, Statistical Modeling, A/B Testing, Anomaly Detection, Fraud Prevention, Data
Visualization, ETL & Data Pipelines, Data Warehousing (DWH), KPI & Dashboard Development, Root Cause Analysis,
Econometrics, Quantitative Finance, Risk Analytics
Soft Skills: Analytical Thinking, Problem Solving, Cross-functional Collaboration, Stakeholder Communication, Attention to Detail,
Decision-Making Under Uncertainty, Ownership, Adaptability, Fast-Paced Environment Execution

WORK EXPERIENCE
EVOLUTION New Westminster, BC
Quantitative Risk Analyst, Fraud Prevention May 2024 - May 2026
● Analyzed 10M+ daily transactional and event records across 45 globally distributed live casino studios using Python and SQL
to detect anomalous user and system behaviour, reducing mean time to detection by 35%
● Contributed to data warehousing (DWH) pipelines, implementing data validation and monitoring that achieved 99% data
completeness and reduced pipeline failures by 25%
● Led end-to-end production incident investigations, performing root cause analysis with engineering partners and driving fixes
that reduced recurring high-severity issues by 20%+
EVOLUTION New Westminster, BC
Casino Operations Supervisor Feb 2024 - May 2024
● Managed real-time scheduling and optimization of operational resources across rotating 24/7 shifts, ensuring continuous
coverage under strict operational constraints (days, nights, weekends, holidays)
● Performed hourly decision-making under time pressure, dynamically reallocating dealers and resources to maximize efficiency
while maintaining compliance with regulatory and internal standards
ERASMUS UNIVERSITY ROTTERDAM Rotterdam, Netherlands
Teaching Assistant Jan 2023 - Feb 2024
● Courses Taught: Simulation, Econometrics II, Time Series Analysis, Non-Linear Optimisation
● Mentored and supported 100+ undergraduate students in quantitative courses, explaining complex statistical and analytical
concepts and improving student performance and comprehension through structured tutorials and one-on-one guidance
● Contributed to data science research projects, applying statistical analysis and Python-based data processing to clean, analyze,
and interpret real-world datasets, supporting empirical research and evidence-based conclusions

ACADEMIC PROJECT
FORECASTING MARKET VOLATILITY USING MACHINE LEARNING | Link
● Conducted statistical comparison of GARCH-based volatility models against the VIX index of CBOE as a benchmark,
focusing on out-of-sample forecasting accuracy using MATLAB, Excel, SQL and Java
● Demonstrated that GARCH models occasionally outperform VIX under specific conditions, supporting findings with
empirical analysis of heteroskedastic time series data

EDUCATION
ERASMUS SCHOOL OF ECONOMICS Rotterdam, Netherlands
Bachelor of Science (BSc), Econometrics & Operations Research
Cumulative GPA: 3.2 / 4.0, Last Year GPA: 3.71 / 4.0
Major: Quantitative Finance | Minor: Computer Science
Thesis: ML Counterfactual Explanation in Credit Scoring Models
Coursework: Machine Learning, Optimization, Time Series, Econometrics, Markov Processes, Multivariate Statistics, Finance