Yasin Cem Polat
Quantitative Researcher/Quantitative Analyst
Istanbul
Summary
Dynamic quantitative researcher with a proven track record at Independent Research, specializing in financial econometrics and volatility forecasting. Expert in developing stochastic models and algorithmic trading strategies, leveraging strong analytical skills and teamwork to deliver actionable insights and enhance trading performance. Proficient in Pine Script and financial modeling, driving robust market analysis.
Overview
4
4
years of professional experience
Work History
Quantitative Research Paper Analysis
Independent Research
03.2022 - Current
- Conducted advanced research in financial econometrics, focusing on forecasting volatility using high-frequency market data.
- Developed, implemented, and backtested stochastic volatility models including GARCH, Heston, and SABR to evaluate market behavior and risk dynamics.
- Designed and executed manual trading strategies, integrating discretionary insights with quantitative research.
- Coded and deployed custom technical indicators in Pine Script to support trading signal generation and market timing analysis.
- Built fully integrated 3-statement financial models (Balance Sheet, Income Statement, and Cash Flow Statement) for publicly listed companies, supporting equity valuation and scenario analysis.
- Applied time-series analysis and model calibration techniques to optimize predictive performance and parameter estimation for volatility models.
- Conducted sensitivity and stress testing on financial models to assess robustness under varying market conditions.
- Synthesized complex financial data into actionable insights through data visualization, statistical modeling, and risk-adjusted performance evaluation.
Algorithmic Trading Bot (Binance)
Trading
08.2023 - 11.2024
- Designed and built a prototype algorithmic trading bot using real-time data from the Binance API, integrating order book depth, trade execution, and signal processing.
- Engineered a modular architecture for live data ingestion, strategy logic, and order execution, focusing on latency management, signal reliability, and risk control.
- Developed preliminary alpha signals based on statistical arbitrage, price momentum, and microstructure patterns, forming the foundation for a fully automated trading system.
- Integrated logging, exception handling, and backtesting frameworks to simulate and evaluate bot performance under various market conditions.
Skills
Teamwork and collaboration
Satisfactory computer skills
Data entry
Fundamental Analysis
In-depth research
Dancing, Gaming
I take dancing lessons, for self expression. I like gaming online with friends.
Timeline
Algorithmic Trading Bot (Binance)
Trading
08.2023 - 11.2024
Quantitative Research Paper Analysis
Independent Research
03.2022 - Current