Quantitative Trading Analyst

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

About the Role

The DEPARTMENT Investment Implementation & Trading transforms investment decisions into high‑quality portfolio implementation across global markets. The department brings together portfolio construction, global trading, trading research, treasury, middle office, and trading risk management to improve execution quality, trading efficiency and investment outcomes.

The Team

The Trading Research & Analytics (TRA) team is the quantitative research and analytics function supporting Wellington’s global trading organization. We partner directly with traders, portfolio managers, broker‑dealers and clients to improve execution outcomes through quantitative research, data science and systematic trading analytics. Our work sits at the intersection of electronic trading, transaction cost analysis and market microstructure.

What you’ll do

Quantitative Trading Research

Conduct empirical research on trading behaviour, market microstructure, liquidity and execution performance across global fixed‑income markets. Translate ambiguous business questions into testable research hypotheses and develop statistical, optimisation and machine‑learning models that improve execution decisions and investment outcomes.

Transaction Cost Analysis & Execution Analytics

Design and enhance Wellington’s fixed‑income TCA framework, including pre‑ and post‑trade cost models, implementation shortfall analytics, dealer scorecards, execution benchmarking and best‑execution reporting. Use quantitative analysis to identify practical opportunities to improve execution quality.

Fixed‑Income Market‑Structure Research

Partner with fixed‑income traders to analyse execution across Global Investment Grade Credit, Global High Yield, Emerging Markets Debt, Securitised Credit and Agency Mortgages. Track market structure, electronic trading, dealer behaviour, RFQ protocols and liquidity trends to recommend enhancements to Wellington’s trading capabilities.

Systematic Trading & Decision Support

Build research and analytical tools that help traders and portfolio managers make better execution decisions. Evaluate execution strategies, dealer selection, liquidity conditions and timing to support systematic trading workflows and improve outcomes.

Trading Data & Research Platform

Own the analytical representation of trading data and partner with technology teams to build scalable research datasets across the trading lifecycle. Maintain production‑quality research infrastructure that combines OMS, EMS, market, pricing and portfolio data with strong data quality, business logic, reproducibility and analytical integrity.

Partnership & Influence

Collaborate with portfolio managers, traders, broker‑dealers, technology teams and senior leaders to translate research into practical trading decisions. Communicate complex findings clearly and help shape Wellington’s execution strategy, trading technology and research capabilities.

Qualifications

• Education & Experience – Bachelor’s degree required; master’s or PhD in Statistics, Mathematics, Economics, Computer Science, Engineering, Finance or related quantitative disciplines is an advantage. 5–7 years of relevant experience in quantitative trading research, execution analytics, TCA, systematic trading, quantitative investment research or advanced analytics in an institutional markets environment.
• Fixed‑Income Trading Experience – Hands‑on experience supporting institutional fixed‑income trading, preferably across Investment Grade Credit, High Yield Credit, Emerging Markets Debt, Securitised Credit or Agency Mortgages.
• Quantitative Research & Modelling – Proficiency in cleaning messy real‑world data, developing visualisations, generating reports and using descriptive analytics to explain what happened; able to formulate trading, execution, liquidity and portfolio implementation questions as testable hypotheses using statistics, algebra, mathematical reasoning and data‑driven inference.
• Predictive & Machine‑Learning Modelling – Hands‑on experience building, validating and interpreting predictive models, transaction‑cost models, optimisation frameworks, machine‑learning models or AI‑assisted research workflows used in trading or execution analytics.
• Technological Skills – Expert‑level Python skills, including object‑oriented programming and reusable, maintainable code. Proficient SQL skills, with a solid understanding of joins, window functions and CTEs. Fluency with modern Python libraries such as Pandas, NumPy and scikit‑learn. Experience with Git, reproducible research workflows, code review, testing and documentation.
• Time Management & Communication – Proven ability to prioritise, protect focus during interruptions and deliver reliably in a fast‑moving trading environment. Strong communication skills to explain complex analytical findings to both technical and non‑technical audiences.
• Collaboration & Feedback – Expert collaboration skills, capable of providing constructive feedback, sharing knowledge and constructively handling differences of opinion to strengthen team dynamics.
• Preferred Skills – Experience with JIRA, Tableau or similar business‑intelligence tools; familiarity with APIs, FIX protocol, cloud data platforms, distributed data processing or market/trading data infrastructure.
• Trading & Market Knowledge – Proficient knowledge of electronic trading, transaction‑cost analysis or fixed‑income market structure – a genuine interest in developing other related areas is also valued.

Compensation

Base salary range: USD 90,000 – 180,000, inclusive of incentives and benefits. Detailed compensation information will be shared during the recruitment process.

Equal Opportunity Statement

As an equal‑opportunity employer, Wellington Management considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, religion, creed, national origin, age, disability, medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other protected characteristic under applicable law.

Accommodations for Disability

If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at [e-mail].