Eugene Nesterenko
Consultant at Boston Consulting Group (BCG)
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEugene Nesterenko is a fintech-focused product manager and consultant with 10 years’ experience building trading, wealth management, and risk systems across banks and top consulting firms. He combines hands-on technical delivery—having led microservices development, ML-driven trading features, and a Visual Studio plugin integration for the notable QuantConnect/Lean repo—with strategic deal and integration work for M&A and large-scale API programs supporting 800k retail clients. An MBA from London Business School (with additional study at Chicago Booth), CFA and FRM underpin his ability to translate complex quantitative and regulatory requirements into commercially viable products. At FG BCS he delivered multi-million pound savings and measurable engagement gains while managing cross-functional teams and budgets, and at Sberbank he shaped credit-risk methodology for new derivative products. He excels at bridging product, engineering and risk, and is especially skilled at turning trading data insights into scalable, low-latency features that reduce costs and operational risk.
10 years of coding experience
6 years of employment as a software developer
Master of Business Administration - MBA, Business Administration and Management, General, Graduated with Distinction (top 10%), Dean's List member, Master of Business Administration - MBA, Business Administration and Management, General, Graduated with Distinction (top 10%), Dean's List member at London Business SchoolMaster of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at The University of Chicago Booth School of BusinessMaster's degree, Applied Economics, Master's degree, Applied Economics at Higher School of EconomicsBachelor's degree, International Economics, Bachelor's degree, International Economics at Simon Kuznets Kharkiv National University of Economics
Github Skills (12)
quantconnect10
apim10
api10
csharp10
trading-algorithms10
backtesting10
algorithmic-trading10
backtest10
dotnet-core10
netframework10
trading9
project-management8
Programming languages (4)
Github contributions (5)
QuantConnect/Lean
Mar 2017 - Mar 2017
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 commits in 5 days
Contributions summary:Eugene primarily worked on the Visual Studio plugin for the Lean algorithmic trading engine. Their contributions involved enhancing the plugin's functionality, including implementing features for saving and sending code for backtesting to the QuantConnect platform. They refactored and improved the user interface, added features such as project selection and compilation and backtesting workflows. Their work demonstrates a focus on integrating the Lean engine with the Visual Studio environment for a seamless trading algorithm development experience.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
mushketyk/Lean
Mar 2017 - Mar 2019
Contributions:7 pushes in 2 years
pythonalgorithmic-tradingtrading-botalgorithmic-trading-enginequantconnect
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