Fixed Income Trading Intern | Python, Bloomberg & Data Viz

Federated Hermes; Pittsburgh (Allegheny County); Hybrid; USD 34,000 - 51,000; Part time

Job summary

Federated Hermes offers a Summer Internship Program in Pittsburgh, providing hands-on experience in asset management and exposure to trading and quantitative research. The role emphasizes Python programming, Bloomberg tools, and data-driven analysis within a hybrid 4-days in-office structure.

Participants will gain practical experience in backtesting, model evaluation, and communication of technical results to both technical and nontechnical audiences.

Qualifications

• Pursuing an undergraduate or graduate degree in finance, economics, mathematics, statistics, computer science, engineering, data science, or a related quantitative discipline.
• Strong quantitative, analytical, and problem-solving abilities with an interest in financial markets and fixed income investments.
• Demonstrated programming experience in Python; experience with data-analysis libraries and application development is preferred.
• Working knowledge of statistics, econometrics, machine learning, time-series analysis, or quantitative research methods.
• Familiarity with backtesting, model validation, optimization, bootstrapping, and cross-validation concepts is preferred.
• Experience working with large datasets, data cleaning, visualization, and dashboard development.

Responsibilities

• Develop and enhance Python and Bloomberg BQuant applications supporting inventory, liquidity, relative-value, and market-color analysis.
• Clean, validate, organize, and analyze fixed income market, pricing, and reference data.
• Build dashboards, heat maps, technical indicators, and data visualizations for traders, analysts, and portfolio managers.
• Support factor-based research, sector analysis, and quantitative models for fixed income markets.
• Contribute to the backtesting framework by developing and evaluating trading strategies using statistical analysis, bootstrapping, cross-validation, and robustness testing.
• Apply sound statistical and quantitative methods to assess model performance, including return, risk, drawdown, and risk-adjusted performance measures.
• Improve application usability, performance, reliability, and documentation based on user feedback.
• Participate in desk, market, sector, and portfolio meetings to build knowledge of fixed income products, market structure, and trading decision-making.
• Present completed tools, research findings, and recommendations to members of the Fixed Income Trading team.

Skills

Python

Bloomberg BQuant

Data analysis

Backtesting

Statistics

Machine learning

Data visualization

Git

SQL

Education

Undergrad or grad in quantitative field

Tools

Bloomberg Terminal

Bloomberg BQuant

SQL

Git

Job description

Federated Hermes offers a Summer Internship Program in Pittsburgh, providing hands-on experience in asset management and exposure to trading and quantitative research. The role emphasizes Python programming, Bloomberg tools, and data-driven analysis within a hybrid 4-days in-office structure.

Participants will gain practical experience in backtesting, model evaluation, and communication of technical results to both technical and nontechnical audiences.