Quantitative Trading Analyst

About Us

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long‑term view that aligns our perspectives with those of our clients.

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. Its internally developed trading technology and proprietary data platforms provide a competitive advantage and underpin Wellington's research and electronic trading strategy.

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.

Rather than simply measuring trading performance, our mission is to continuously improve it.

We develop the data, models, and research that help answer questions such as:

• Which execution strategy should be used?
• When should an order be executed?
• How much should we expect a trade to cost?
• What execution price should we be willing to pay?
• Which dealers consistently deliver the best outcomes?
• How can systematic trading strategies improve client alpha?

As our trading platform continues to evolve, the team is expanding beyond traditional transaction cost analysis into predictive modeling, execution optimization, and AI‑assisted trading research.

We are seeking a Quantitative Trading Analyst to join Trading Research & Analytics and help improve execution outcomes through research, analytics, and systematic decision support.

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

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.

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

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.

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…