AI-Driven Quantitative Trading Analyst

CFA Institute; Boston (MA); Hybrid; USD 90,000 - 180,000; Full time

Benefits offered by this job

Retirement plan

Health benefits

Paid time off

Hybrid work

Job summary

Wellington Management is seeking a Quantitative Trading Analyst to join the Trading Research & Analytics team in Boston. You will translate research into practical trading decisions, develop models for execution, and collaborate with portfolio managers, traders and technology to improve outcomes.

The role emphasizes empirical research, transaction cost analysis, and systematic trading support across global fixed income markets. Strong Python/SQL, modeling, and communication skills are essential.

Qualifications

• Bachelor's degree required; master's or PhD in Statistics, Mathematics, Economics, CS, Engineering, Finance or related quantitative discipline favored.
• 5–7 years of relevant experience in quantitative trading research, execution analytics, or related institutional markets roles.
• Hands‑on experience supporting institutional fixed income trading across IG Credit, High Yield, EM Debt, Securitized Credit or Agency Mortgages.

Responsibilities

• Conduct empirical research on trading behavior, market microstructure, liquidity, and execution performance across global fixed income markets.
• Design and enhance fixed income TCA framework including pre/post-trade cost models and best execution reporting.
• Partner with traders to analyze and improve dealer behavior, RFQ protocols, and liquidity trends.
• Build tools to evaluate execution strategies and support systematic trading workflows.

Skills

Python

SQL

Pandas

NumPy

Scikit-learn

Git

Communication

Collaboration

Education

Bachelor's degree

Master's or PhD in a quantitative field

Tools

JIRA

Tableau

Job description

Wellington Management is seeking a Quantitative Trading Analyst to join the Trading Research & Analytics team in Boston. You will translate research into practical trading decisions, develop models for execution, and collaborate with portfolio managers, traders and technology to improve outcomes.

The role emphasizes empirical research, transaction cost analysis, and systematic trading support across global fixed income markets. Strong Python/SQL, modeling, and communication skills are essential.