Junior Data & AI Analyst at Deerpath Capital Management LP

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jun, 26

Salary

95000.0

Posted On

15 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Pipelines, Database Architecture, API Integration, Large Language Models, Generative AI, Data Quality Management, Automation, Data Analysis, Problem-Solving, Communication, Data Engineering, LLMs, Reporting, Validation

Industry

Financial Services

Description

Company Description Deerpath Capital is a leading direct lending firm specializing in providing first lien senior debt financing to middle market companies. Deerpath is focused on providing debt capital for acquisitions, refinancings, ownership transitions and growth capital to companies in the U.S. lower middle market. Deerpath has investment offices in New York, Boston, Chicago, Los Angeles and Fort Lauderdale, as well as overseas investor relations offices in London, Seoul, Tokyo and Brisbane. The firm employs approximately 100 employees globally. Position Overview Deerpath Capital is seeking a highly motivated Junior Data & AI Analyst to join our team and help expand the firm’s data, automation, and artificial intelligence capabilities. This role will support the origination team by improving how we capture, analyze, and leverage data across the firm. The position is ideal for a recent graduate or early-career professional who enjoys solving real business problems with technology and is interested in applying modern data tools and AI capabilities in a finance environment. This role will work closely with investment professionals and technology leadership and will gradually assume responsibilities currently managed within the origination data function. Primary Responsibilities Support the development and maintenance of internal databases and data pipelines used by the firm’s origination team Build and maintain Python- and SQL-based tools to automate data collection, processing, and reporting Assist in managing and improving data infrastructure and database architecture Help integrate external data sources and APIs into internal systems Explore and implement ways to leverage large language models (LLMs) and generative AI tools to improve research, data processing, and internal workflows Work with investment professionals to identify opportunities to automate manual processes Assist with data quality management, validation, and documentation Support the ongoing transition of responsibilities related to origination data management Desired Skills & Experience Bachelor’s degree in computer science, Data Science, Data Engineering, or a related technical field Minor in Business, Economics, or Finance preferred 0–2 years of experience (recent graduates encouraged to apply) Internship experience at a financial institution, investment firm, consulting firm, or fintech company preferred Proficiency in Python Strong working knowledge of SQL and relational databases Understanding of database design and data engineering fundamentals Familiarity with data analysis and automation workflows Working knowledge of large language models (LLMs) or generative AI tools and an interest in applying them to practical business use cases Strong analytical and problem-solving skills Ability to work independently in a small, collaborative team environment Curiosity about emerging technology and its application to financial workflows Strong communication skills and ability to translate technical ideas into business solutions Compensation Range: $75,000–$95,000 plus a competitive bonus NO RECRUITERS or AGENCIES for this posting. Any unsolicited resumes sent to Deerpath will be considered Deerpath property. Deerpath will NOT pay a fee for any placements resulting from the receipt of any unsolicited resumes. Deerpath Capital Management, LP is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected characteristics.

Responsibilities

The role involves supporting the development and maintenance of internal databases and data pipelines, as well as building Python- and SQL-based tools for automation, data processing, and reporting. Responsibilities also include exploring and implementing large language models and generative AI tools to enhance research and internal workflows.