I’m a FinTech entrepreneur and quantitative research expert with a passion for innovation in automated trading systems. As the Co-Founder and COO of QuantFactory, I lead product development, operations, and marketing. My expertise spans the development of sophisticated algorithmic trading strategies, automated systems, and cutting-edge data science solutions.With over 350+ trading indicators and 50+ automated trading systems deployed, I have helped clients across various sectors, from equities to crypto, optimize their trading performance through customized solutions. I’m also skilled in Python, Pine Script, and business intelligence, with a strong track record in enhancing operational workflows and data-driven decision-making.
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Data ScientistQuantfactorySofia, Bg -
Co-Founder & Quantitative ResearcherQuantfactory Jul 2022 - Present- As the Co-Founder and Chief Operating Officer, I drive the strategic direction of QuantFactory, a FinTech company specializing in advanced algorithmic trading solutions. I lead product development, operations, and portfolio expansion, combining data science and quantitative research to create scalable financial systems.- I’ve architected and developed 350+ trading indicators and 50+ fully automated systems, leveraging Python, Pine Script, and advanced statistical models to craft data-driven solutions that outperform traditional market strategies.- Created and maintained a strong digital footprint for the company through content development and multi-platform engagement, resulting in increased visibility and client acquisition.- My role involves in-depth quantitative research, analyzing market data to design and optimize trading algorithms that adapt to varying market conditions across equities, crypto, and commodities. -
Data Science And Systematic Trading | Top Rated ConsultantFreelance May 2021 - Present- Developed hundreds of customized trading systems and indicators for clients using Python and Pine Script, focusing on backtesting, optimization, and automation of trading strategies for equities, macro, and crypto markets.- Applied machine learning and big data techniques to enhance the performance of algorithmic strategies, incorporating techniques like regression analysis, predictive modeling, and data visualization to identify inefficiencies.- Collaborated with international clients to deliver tailored solutions, optimizing their trading strategies by conducting rigorous backtesting and performance analysis using Python.
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Bi Batch Scheduling SpecialistA1 Telekom Austria Ag Sep 2021 - Mar 2022Sofia, Sofia City, Bulgaria- Managed and optimized ETL process chains using advanced automation tools like SLJM and Ab Initio, ensuring data consistency and reliability for business intelligence operations.- Automated data workflows, reducing manual intervention and increasing operational efficiency by designing systems that processed large-scale data batches in real-time. -
Batch Scheduling EngineerDxc Technology Nov 2019 - Aug 2021Sofia, BulgariaLed incident management and automated key BI processes to enhance workflow efficiencies.
Radoslav Haralampiev Skills
Radoslav Haralampiev Education Details
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Artificial Intelligence -
Python Fundamentals -
Finance, General
Frequently Asked Questions about Radoslav Haralampiev
What company does Radoslav Haralampiev work for?
Radoslav Haralampiev works for Quantfactory
What is Radoslav Haralampiev's role at the current company?
Radoslav Haralampiev's current role is Data Scientist.
What schools did Radoslav Haralampiev attend?
Radoslav Haralampiev attended Software University (Softuni.bg), Software University (Softuni.bg), University Of National And World Economy.
What are some of Radoslav Haralampiev's interests?
Radoslav Haralampiev has interest in Politics, Education, Economic Empowerment.
What skills is Radoslav Haralampiev known for?
Radoslav Haralampiev has skills like Management, Research, Sales, Leadership, Training, Product Development, Business Development, Project Management, Strategic Planning, Event Management, Teamwork, Intercultural Communication.
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