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Mastering Quantitative Finance with Modern C++: Foundations, Derivatives, and Computational Methods

by Aaron de la Rosa
Save 25% Save 25%
Current price ₹5,522.00
Original price ₹7,350.00
Original price ₹7,350.00
Original price ₹7,350.00
(-25%)
₹5,522.00
Current price ₹5,522.00

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Book cover type: Paperback
  • ISBN13: 9798868817922
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Apress
  • Publisher Imprint: Apress
  • Publication Date:
  • Pages: 877
  • Original Price: USD 74.99
  • Language: English
  • Edition: First Edition
  • Item Weight: 1556 grams
  • BISAC Subject(s): Languages / C++

Aaron De la Rosa is a Senior Quantitative Analyst and Data Scientist with a strong background in programming, finance, and quantitative analysis. He holds an MSc in Finance and has extensive experience as a Senior Data Scientist. Aaron is proficient in Python, R, C++, and Matlab, and specializes in portfolio optimization, machine learning, deep learning, and algorithmic trading.

As a Quantitative Developer, he has expertise in market and credit risk, sentiment analysis, web scraping, natural language processing, and large language models. Aaron possesses comprehensive financial, quantitative, and modeling expertise, along with strong problem-solving abilities, excellent analytical skills, and broad financial experience.

He is a highly skilled, motivated, competent, and certified Quant with over eight years of experience in quantitative analysis and statistical modeling. Aaron is capable of providing accurate forecasts, optimizing investment portfolios, and developing projects using his knowledge of various programming languages.

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