2027 Data and AI Solutions Summer Intern

About the role

Federated Hermes' Summer Internship Program gives students real hands-on experience, professional skill-building, and direct access to talented leaders across the firm. You'll gain valuable insight into the asset management industry, build your network, and take part in engaging events throughout the summer designed to foster collaboration, connect you with the firm and your fellow interns. Purpose of the Internship: This internship sits inside the Fixed Income Data and AI transformation initiative. The intern will help build production-grade data assets, analytics, and AI/ML tools that directly support FI trading, research, and Portfolio Management. Work alongside the Director of FI Data and AI Solutions, citizen developers, quants, and data scientists to advance real deliverables tied to CIO defined initiatives, while applying your quantitative and analytical skills to solve real investment problems. Develop the tools that move Fixed Income forward, and build your foundation in Investment Management. You'll join a team shipping production models, driving process efficiency, and putting the latest data and AI tools to work.

Responsibilities

• Data Engineering & Platform: Onboard data from internal systems, vendor APIs, and other sources onto Databricks/Azure
• Develop data analysis competency in Databricks (Spark, SQL, Python)
• Data wrangling, validation, and quality checks
• Applied AI/ML & Quant Research: Build upon ML models augmenting the investment process
• Enhance backtesting frameworks, following rigorous standards on bias avoidance, lookahead, and out-of-sample validity
• Leverage LLMs/AI tools (Claude, GPT, Copilot) to accelerate development in an enterprise setting
• Application & Tool Development: Fast prototype apps and dashboards on enterprise data (python, SQL, Bloomberg BQL)
• Add interactive features to dashboards/heatmaps/models
• Collaboration & Delivery: Communicate with Investment Management, Data Scientists, and Technology to scope needs
• Document code/process for continuity
• Present findings to investment and technology stakeholders
• Follow coding standards under senior data scientist/developer supervision

Requirements

• Pursuing an undergraduate degree in quantitative finance, engineering, data science, CS, mathematics, science, economics, or other quantitative field
• Programming experience required: Python preferred, others considered based on level of competency

Qualifications

• Leverage LLMs: Claude/Code, GPT/Codex, Copilot, etc
• Exposure to any of the following is beneficial: machine learning, statistics, time series analysis, backtesting methods
• Relational database/SQL experience is advantageous
• Comfortable learning new systems quickly: Bloomberg/BQuant, Databricks, git
• Strong curiosity in Fixed Income investing and financial markets, no prior experience required
• Comfortable working independently, proposing solutions, and iterating under light supervision

Skills

Python, SQL, Databricks (Spark), Bloomberg BQL, LLMs (Claude, GPT, Copilot), machine learning, statistics, time series analysis, backtesting, data wrangling, dashboard development.

Schedule

Full-time summer schedule working 37.5 hours/week from 8:30 a.m. - 5:00 p.m. Federated Hermes Tower – Pittsburgh, PA 15222. Hybrid work arrangement (4 days in-office / 1 day remote).