Quantitative Researcher - Fixed Income Electronic Trading (VP) - Selby Jennings

Job Title: Quantitative Researcher - Fixed Income Electronic Trading (VP)
Location: New York, NY
Division: Fixed Income Electronic Trading
Level: VP or Associate
Overview
A major U.S. investment bank is seeking a Quantitative Researcher to join its Fixed Income Electronic Trading team. This role is at the forefront of developing advanced pricing and quoting models across a wide range of fixed income products. The ideal candidate will play a key role in designing mid-price models, optimizing RFQ algorithms, and enhancing autoquoting systems that drive the firm's electronic trading capabilities.
This is a high-impact position for individuals passionate about applying machine learning and quantitative techniques to real-world trading problems in a fast-paced, data-rich environment.
Key Responsibilities

• Develop and refine mid-price estimation models using statistical and machine learning techniques.
  
• Build and optimize autoquoting engines and RFQ response logic for electronic trading.
  
• Collaborate with trading and technology teams to deploy models into production and monitor performance.
  
• Conduct backtesting, signal validation, and model calibration using large-scale market and trade data.
  
• Drive research initiatives across credit, rates, FX, and municipal bonds, contributing to the evolution of the firm's electronic trading strategies.
  
• Stay abreast of market structure changes and regulatory developments impacting fixed income trading.
  

• Advanced degree in a quantitative discipline (e.g., Mathematics, Physics, Computer Science, Financial Engineering).
  
• PhD required for candidates without prior experience on an algorithmic trading desk.
  
• Master's degree acceptable for candidates with deep hands-on experience in electronic trading.
  
• Strong proficiency in machine learning, including supervised and unsupervised learning, feature engineering, and model evaluation.
  
• Programming expertise in Python, C++, or Java, with experience in data analysis and modeling.
  
• Deep product knowledge in one or more of the following: Credit, Rates, FX, or Municipal Bonds.
  
• Experience working with large datasets, market microstructure, and real-time trading systems.
  
• Excellent communication skills and ability to work cross-functionally in a collaborative environment.
  

• Prior experience in electronic trading, especially within a sell-side fixed income desk.
  
• Familiarity with RFQ platforms, autoquoting engines, and execution algorithms.
  
• Exposure to systematic trading strategies, signal-based decision-making, and ML model deployment in production environments.