Human Generated 

Dear Hiring Team at Hudson River Trading,

I am excited to apply for the Algorithm Development (Quant Research) Internship – Summer 2025 at Hudson River Trading. As a Computer Engineering student at CUNY’s Grove School of Engineering, I bring hands-on experience in designing data pipelines and developing quantitative models that drive actionable insights from complex datasets.

At McQuilling Partners, I spearheaded the creation of cloud-hosted ETL pipelines, seamlessly integrating financial, weather, and AIS data into a unified framework. This system supported advanced quantitative analyses, enabling efficient data-driven decision-making for voyage route projections, and ultimately saving over $200,000 annually. My passion for building technologies also extended to designing high-performance applications, and regularly pitching new projects to solve new and evolving problems.

Hudson River Trading’s emphasis on problem-solving and innovation aligns closely with my professional and academic experience. Organizing and feature-engineering large datasets for financial and operational modeling has honed my analytical skills, while my coursework in applied mathematics and statistics complements this by providing a strong foundation for constructing data-driven and quantitative models. I thrive in environments where I can be a self-starter, tackling complex challenges and learning continuously to enhance my skill set.

As a teacher working with K-8 students in the New York City public school system through Private Prep, I have developed strong communication and mentorship skills. Breaking down complex coding concepts for young learners requires creativity, clarity, and adaptability—qualities I am eager to bring to collaborative teams at HRT. My teaching experience reinforces my ability to articulate ideas effectively, foster teamwork, and adapt quickly—essential traits in fast-paced, dynamic environments.

Thank you for considering my application. I am eager to learn more about Hudson River Trading’s mission and to contribute my technical expertise, problem-solving skills, and enthusiasm for building technologies to your team.

Sincerely,
Joshua Immordino
GitHub | LinkedIn | +1 646-733-6552 | JoshImmor@gmail.com

AI-Generated: 

I am writing to apply for the Quantitative Intern position at Hudson River Trading. With a strong background in mathematics, programming, and data analysis, I am eager to bring my skills and enthusiasm to the dynamic environment at HRT.

Here are a few highlights from my experience:

• Predictive Models: Developed a Monte Carlo simulation engine using GoLang and Docker to analyze financial scenarios in real time. This project improved my ability to optimize algorithms for both speed and accuracy.
• Data Pipelines: Designed and implemented a Python and Azure-based system for processing and visualizing large datasets, saving over $200,000 annually in API costs.
• Collaborative Solutions: Contributed to a team project utilizing TensorFlow to classify geographical data, significantly enhancing predictive performance.

These experiences have strengthened my programming skills in Python and C++ and taught me how to approach complex problems methodically. I am particularly drawn to Hudson River Trading’s focus on collaboration and innovation in quantitative research and technology.

I would welcome the opportunity to discuss how my skills and experiences align with HRT’s goals. Thank you for considering my application, and I look forward to the possibility of contributing to your team.