Quant Intern, Residential Credit at Hudson Advisors L.P. in New York

Summary: Hudson Advisors is seeking a Summer Quant Analyst (Intern) to join its U.S. Residential Credit investment platform in New York. The intern will work with the underwriting and investment team to develop financial models, evaluate performance data, and support various investment decisions while gaining exposure to large-scale datasets and analytical techniques. Responsibilities: - Support the investment team on ad hoc quantitative analyses and data-driven initiatives related to underwriting, pricing, and portfolio management - Contribute to the development and enhancement of next-generation investment infrastructure, including scalable data pipelines, analytics tools, and internal reporting systems - Assist with loan-level cash flow modeling, performance analysis, scenario testing, and return attribution - Support the investment screening process by conducting structured data studies, analyzing large datasets, and helping refine credit and pricing parameters - Prepare analytical materials, charts, and presentation content for internal meetings and investment committee discussions - Participate in meetings with the investment team, counterparties, and other stakeholders to support diligence and portfolio monitoring efforts Required Qualifications: - Strong analytical, quantitative, and problem-solving skills, with a demonstrated interest in financial markets, credit investing, and data-driven decision making - Demonstrated programming experience, with proficiency in one or more of the following: Python, SQL, or VBA. Experience building analytical tools, automation workflows, or data pipelines is strongly preferred - Comfort working with large, loan-level or structured datasets, including data cleaning, transformation, analysis, and extracting actionable insights - Advanced proficiency in Microsoft Excel (complex formulas, lookups, PivotTables, structured modeling) and PowerPoint - Familiarity with statistical, machine learning, or business intelligence tools (e.g., Power BI, Tableau, R, MATLAB, Databricks, or similar platforms) is a plus - Experience leveraging AI-assisted development environments or modern analytical workflows to improve research, modeling, or coding efficiency is a plus - Highly motivated, detail-oriented, and intellectually curious, with a willingness to take ownership of projects and improve existing processes - Strong written and verbal communication skills, with the ability to clearly explain quantitative analyses and defend assumptions - Ability to operate both independently and collaboratively in a fast-paced, deadline-driven investment environment while managing multiple priorities - Currently pursuing a Bachelor's degree in a quantitative or STEM discipline (e.g., Mathematics, Statistics, Physics, Computer Science, Engineering, or a related field) - Expected graduation between December 2027 and June 2028 Preferred Qualifications: - Interest in MBS/ABS (Mortgage/Asset-Backed Securities) and residential or consumer credit is preferred - Experience building analytical tools, automation workflows, or data pipelines is strongly preferred - Familiarity with statistical, machine learning, or business intelligence tools (e.g., Power BI, Tableau, R, MATLAB, Databricks, or similar platforms) is a plus - Experience leveraging AI-assisted development environments or modern analytical workflows to improve research, modeling, or coding efficiency is a plus Required Skills: Python, SQL, Financial modeling Important Skills: Microsoft Excel, Machine learning Nice-to-Have Skills: Analytical skills, Problem-solving, Communication skills, Teamwork