Master of Science
Financial Analytics

	Bentley University Waltham, MA
	Github
	jboisvert@falcon.bentley.edu

Hello World!

I'm John, a Systems Engineer at Fidelity Investments. I specialize in leveraging technology and finance to tackle complex challenges in various domains. My work involves exploring cutting-edge applications and pushing the boundaries of innovation. These diverse interests keep me engaged and motivated, allowing me to constantly broaden my horizons and approach problem-solving from multiple perspectives.

My areas of passion span across a wide range of subjects, and I enjoy reading on these various topics:

• 1. Data Science, Artificial Intelligence, and Machine Learning in Finance: I have a keen interest in applying data science techniques, AI, and ML algorithms to financial markets. From predictive modeling and time series analysis to natural language processing and sentiment analysis, I explore how these technologies can enhance investment strategies, risk management, and decision-making processes in the financial industry.
• 2. Algorithmic, Electronic, and Systematic Trading: I specialize in designing and implementing algorithmic trading systems that leverage advanced mathematical models and real-time data analysis. I am passionate about understanding market dynamics, liquidity, and execution strategies to develop robust and efficient trading algorithms. Exploring topics such as high-frequency trading, market microstructure, and algorithmic trading platforms is an integral part of my professional development.
• 3. Portfolio Optimization and Risk Management: I am deeply interested in portfolio management techniques that aim to maximize returns while minimizing risk. I explore modern portfolio theory, asset allocation strategies, factor-based investing, and risk modeling methodologies. By leveraging quantitative analysis and optimization techniques, I strive to construct well-diversified portfolios that align with investors' goals and risk preferences.
• 4. Market Microstructure and Trading Strategies: I delve into the intricacies of market microstructure, studying how orders are matched, executed, and impact price dynamics. By understanding market liquidity, order flow, and market impact, I develop and test trading strategies that exploit market inefficiencies and capture alpha. Topics such as order book dynamics, limit order placement strategies, and market impact modeling intrigue me.
• 5. Financial Technology (FinTech) Innovations: I keep a pulse on the latest advancements in financial technology, exploring topics such as blockchain, cryptocurrencies, robo-advisors, and alternative data sources. I am particularly interested in understanding how these innovations disrupt traditional financial systems, streamline processes, and enable new investment opportunities.
• 6. Large Language Models (LLMs) in Finance: I am fascinated by the potential of large language models in finance. Exploring topics such as natural language processing (NLP), text generation, sentiment analysis, and financial text mining, I investigate how LLMs can be applied to automate tasks such as financial document analysis, news sentiment tracking, and investment research.

Education

• M.S. Financial Analytics, 2023
  Bentley University
• B.S. Management Information Systems and Finance, 2020
  University of Massachusetts Lowell