Hamad Binshannar
Quantitative Equity Analyst @Quantumvest
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WORK HISTORY
Quantitative Equity Analyst @Quantumvest
Scottsdale, AZ, US
Leading and spearheading the development team responsible for architecting algorithmic trading code, elevating the firm’s data-driven investment strategies with Python and SQL.• Implementing advanced portfolio management tools inspired by leading frameworks like TERF to optimize asset allocation and risk management.• Conducting in-depth financial analysis to uncover high-potential investment opportunities, leveraging quantitative techniques and machine learning models.• Performing comprehensive backtesting and market research to refine trading algorithms and bolster portfolio performance for a $30M AUM.• Collaborating with cross-functional teams to formalize a structured development framework, setting both short-term milestones and long-term objectives for the trading platform.• Presenting insights and performance evaluations to senior analysts, informing strategic investment decisions and driving operational enhancements.
EDUCATION
Arizona State University
Bachelor of Science - BS
Arizona State University
Global Tech Programs - Data Analytics
W. P. Carey School of Business – Arizona State University
Master of Science - MS
ABOUT HAMAD BINSHANNAR
I am a driven MS in Finance (Analytical Methods) senior at ASU with a dual bachelor\'s degrees in Accounting and Business Data Analytics and hands-on data, business, and financial analysis exposure. Over the years, I have attained recognition as a talented analyst who can be relied upon to gain meaningful insights from large datasets and provide actionable intelligence to support decision-making. Moreover, I am adept at leveraging data to unlock growth opportunities while leveraging advanced analytics to automate and streamline processes. My education and experience have allowed me to hone a wealth of skills, demonstrating proficiency in accounting, financial planning & analysis (FP & A), econometrics, auditing & assurance, reporting, budgeting, cost tracking, financial statement analysis, risk management, and compliance, as well as data science, analytics, modeling, visualizations, machine learning, business intelligence, forecasting, trend analysis, and business analysis. Additionally, I have a nuanced understanding of GAAP and regulatory frameworks. I am always open to hearing about a new exciting opportunity, so feel free to connect via LinkedIn, email, or telephone: H••••••••@outlook.com (541) 230 – 8736
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