2027 Data and AI Solutions Summer Intern

Federated Hermes, Inc.; Pittsburgh (Allegheny County); Hybrid; USD 11,000 - 17,000; Full time

Job summary

Federated Hermes, Inc. is seeking a Data and AI Solutions Summer Intern to contribute to the Fixed Income data/AI transformation. You will join a team shipping production models, building data assets, and delivering analytics for FI trading and portfolio management.

You'll work with leaders, data scientists, and quants to advance key initiatives, leveraging Python, SQL, and Databricks in a hybrid Pittsburgh setting (4 days in office, 1 remote) throughout the 37.5-hour week.

Qualifications

• Pursuing an undergraduate degree in a quantitative field or related area.
• Programming experience with Python preferred; other languages considered based on competency.
• Exposure to ML, statistics, time series analysis, backtesting is beneficial.

Responsibilities

• Onboard data from internal systems and external sources into Databricks/Azure.
• Develop data analysis capabilities in Databricks (Spark, SQL, Python).
• Data wrangling, validation and quality checks.
• Build ML models to augment the investment process.

Skills

Python

SQL

Databricks

Azure

Data analysis

Education

Undergraduate student

Tools

Bloomberg BQL

Job description

2027 Data and AI Solutions Summer Intern

Federated Hermes Internship Opportunity #9807

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.

Major Duties:

• 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
• 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
• 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

Hours/Location:

• 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)

Explanatory Comments:

Major projects may include the following:

• Contributing to and improving systematic models centered around interest rate movements and credit metrics
• Building data pipelines, custom reports, and dashboards for the investment teams
• Improving security selection and relative value tools
• Discover pain points and develop innovative solutions using data

Position Specifications:

• 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
• Exposure to any of the following is beneficial: machine learning, statistics, time series analysis, backtesting methods
• Relational database/SQL experience is advantageous
• Strong curiosity in Fixed Income investing and financial markets, no prior experience required
• Comfortable working independently, proposing solutions, and iterating under light supervision

For additional information, please visit FederatedHermes.com

Only those candidates in whom we have an interest will be contacted.

The firm does not sponsor employment visas

EOE – Including Disability / Vets

Federated Hermes is committed to providing equal employment opportunities in all aspects of employment to qualified individuals without regard to the following criteria: race, color, national origin, religion, sex, pregnancy, sexual orientation, gender identity or expression, mental or physical disability, age, familial or marital status, ancestry, military status, veteran status or genetic information as well as any other prohibited criteria under any local, state or federal law applicable to Federated Hermes. As part of the firm’s equal employment opportunity statement, Federated Hermes will also comply with applicable government contractor obligations, including ensuring veterans and qualified people with disabilities are considered for employment and promotional opportunities consistent with current federal, state and local laws and regulations. Federated Hermes will also make reasonable accommodations for the religious practices of beliefs of applicants and employees, as well as for mental health or physical disability needs.