Wellington

Wellington

Quantitative Trading Analyst

Boston, MA, United States

Sponsorship not specified$90k-$180kDetected 8 days ago
PythonObject-Oriented ProgrammingAlgorithmsCode ReviewGitSQLMachine Learningscikit-learnPandasNumPyData EngineeringData ScienceData VisualizationNLPStatisticsJiraExcelResearchCommunicationCollaborationTime Management

About the role

  • 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.

Responsibilities

  • Partner with fixed income traders to analyze execution across Global Investment Grade Credit, Global High Yield, Emerging Markets Debt, Securitized Credit, and Agency Mortgages.
  • Systematic Trading & Decision Support
  • 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 integrity.
  • Collaborate with portfolio managers, traders, broker-dealers, technology teams, and senior leaders to translate research into practical trading decisions.
  • Rather than focusing solely on reporting historical performance, you will help develop the predictive analytics, systematic trading capabilities, and decision-support tools that define the next generation of portfolio implementation.
  • We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

Requirements

  • Bachelor's degree required
  • 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.
  • Experience analyzing real-world trading datasets, including orders, executions, quotes, dealer responses, benchmarks, prices, liquidity signals, and portfolio attributes.
  • Education & Experience
  • master's or PhD in Statistics, Mathematics, Economics, Computer Science, Engineering, Finance, or a related quantitative discipline considered favorably.
  • Hands-on experience supporting institutional fixed income trading, preferably across Investment Grade Credit, High Yield Credit, Emerging Markets Debt, Securitized Credit, or Agency Mortgages.
  • Quantitative Research & Modeling
  • Proficient capability in analytics and quantitative research, with experience cleaning messy real-world data, developing visualizations, generating reports, and using descriptive analytics to explain what happened and diagnostic analytics to explain why it happened.
  • Ability to move beyond reporting into research: formulate trading, execution, liquidity, and portfolio implementation questions as testable hypotheses using statistics, algebra, mathematical reasoning, and data-driven inference.
  • Hands-on experience building, validating, and interpreting predictive models, transaction cost models, optimization frameworks, machine learning models, or AI-assisted research workflows used in trading or execution analytics.
  • Interest in applying machine learning, natural language processing, or modern AI techniques to trading research, predictive analytics, data quality, automation, or decision support.

Nice to have

  • Additional experience with APIs, FIX protocol, cloud data platforms, distributed data processing, or market/trading data infrastructure is beneficial.

Skills

  • Required:
  • strong understanding of joins, cardinality, duplicate handling, joins versus subqueries, window functions, and subqueries/CTEs.
  • Preferred:
  • Experience with JIRA, or business intelligence tools such as Tableau is preferred
  • Trading & Market Knowledge

Compensation

  • At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry.
  • We strive to pay employees fairly and competitively across all levels and roles.
  • Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits.
  • USD 90,000 - 180,000 This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets;

Benefits

  • Translate ambiguous business questions into testable research hypotheses and develop statistical, optimization, and machine learning models that improve execution decisions and investment outcomes.

Company info

  • 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.
  • 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?

Equal opportunity

  • 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 GMWTalentOperations@wellington.com.

Visa & Work Authorization

  • gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other
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