Quantitative Trading Researcher, Fixed‑Income Analytics

Wellington Management Company; Boston (MA); On-site; USD 90,000 - 180,000; Full time

Job summary

Wellington Management invites you to join the Trading Research & Analytics (TRA) team in Boston as a Quantitative Trading Researcher. You will conduct empirical studies on trading behaviour, market microstructure, liquidity and execution performance across global fixed‑income markets, translating business questions into testable hypotheses using statistics, optimisation and ML methods.

You will design and enhance Wellington’s transaction cost analytics, build scalable research datasets, and

Qualifications

• Bachelor’s degree required; master’s or PhD in quantitative fields is an advantage.
• 5–7 years of relevant experience in quantitative trading research or related analytics in institutional markets.
• Proficiency in cleaning real-world data, creating visualisations, and reporting insights.

Responsibilities

• Conduct empirical research on trading behaviour, market microstructure, liquidity and execution performance across global fixed‑income markets.
• Translate business questions into testable hypotheses using statistics, algebra and data-driven inference.
• Design and enhance transaction cost analytics, including pre- and post-trade cost models and execution benchmarking.
• Partner with fixed‑income traders to analyse execution across various credit and mortgage sectors.
• Build tools to support systematic trading decisions and improved execution outcomes.

Skills

Python

SQL

Pandas

NumPy

scikit-learn

Git

Visualization

Education

Bachelor’s degree

Master/PhD preferred

Tools

Tableau

JIRA

APIs

FIX protocol

Job description

Wellington Management invites you to join the Trading Research & Analytics (TRA) team in Boston as a Quantitative Trading Researcher. You will conduct empirical studies on trading behaviour, market microstructure, liquidity and execution performance across global fixed‑income markets, translating business questions into testable hypotheses using statistics, optimisation and ML methods.

You will design and enhance Wellington’s transaction cost analytics, build scalable research datasets, and