Alex Ndere
@alexndere
Quantitative analyst with expertise in algorithmic trading and Python.
What I'm looking for
I am a quantitative analyst with over two years of experience specializing in algorithmic trading and statistical arbitrage. My journey began with a Bachelor's degree in Telecommunications and IT from Machakos University, followed by a Data Science bootcamp at Moringa School. I have developed over 10 profitable trading signals for WorldQuant’s VRC program, showcasing my ability to leverage data for financial gains.
Currently, I am a Quantitative Research Intern at WorldQuant, where I have successfully developed 15+ predictive alphas using Python and Pandas, achieving an impressive average Sharpe ratio of 2.1. My expertise extends to backtesting strategies on WebSim, where I improved signal accuracy by 30% using ensemble machine learning models. Additionally, I have experience as a freelance Algorithmic Trading Analyst, where I built a mean-reversion crypto bot that yielded 18% monthly returns.
Experience
Work history, roles, and key accomplishments
Quantitative Research Intern
WorldQuant
Jan 2023 - Present (2 years 6 months)
Developed 15+ predictive alphas using Python & Pandas, generating an average Sharpe ratio of 2.1. Backtested strategies on WebSim, improving signal accuracy by 30% with ensemble ML models.
Algorithmic Trading Analyst
Freelance
Jan 2022 - Dec 2023 (1 year 11 months)
Built a mean-reversion crypto bot (Python + CCXT) yielding 18% monthly returns. Automated trading signals using TensorFlow for price prediction.
Education
Degrees, certifications, and relevant coursework
Machakos University
Bachelors degree, Telecommunications and IT
Completed a comprehensive Bachelor's degree program focusing on Telecommunications and Information Technology. Gained foundational knowledge and practical skills in various aspects of IT and telecommunications.
Moringa School
Bootcamp Graduant, Data Science
Successfully completed a Data Science bootcamp, acquiring in-depth knowledge and hands-on experience in data analysis, machine learning, and statistical modeling. Developed practical skills essential for a career in data science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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