Quantitative Strategist, Mortgage-Backed Securities (MBS)

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. About the Role

THE POSITION

Wellington is seeking a quantitative risk‑neutral valuation specialist in fixed income, MBS, and structured products modeling to join the Risk and Analytics Research team within Wellington Investment Risk. The team is responsible for investment analytics and risk modeling, partnering closely with investors and risk professionals to embed analytics and models into investment decision workflows, and working with technology teams to deliver scalable, enterprise‑level solutions. The Quantitative Strategist will develop models for fixed income, agency MBS, and structured product instruments; conduct empirical research on security valuation and risk premia; and serve as a subject matter expert on risk‑neutral valuation for investors, product management, and the Investment Risk team. The strategist will work closely with Wellington investors to facilitate the use of quantitative models in investment decisions and portfolio construction. This is a high‑impact, high‑leverage role with broad responsibilities spanning quantitative research, investment analytics, investor engagement, and production implementation. Success in this role requires rigorous quantitative research skills, deep knowledge of risk‑neutral valuation, mortgage modeling, and derivatives valuation, as well as the ability to partner with technology teams to build scalable production infrastructure for security analytics. The successful candidate will also enjoy collaborating directly with investors and integrating quantitative models into real‑world investment processes. The candidate should be able to work independently and thrive in a team‑oriented environment. Strong communication skills are essential, as the role involves leading research initiatives while interacting closely with investment teams, product management, risk professionals, and technology partners. Qualifications The ideal candidate will combine a strong quantitative background with a deep understanding of finance and economics. 5-15 years of experience in fixed income and mortgage modeling; strong understanding of mortgage market dynamics, including TBAs, pools, and agency CMOs. Experience with structured products is a plus. Strong understanding of asset pricing theory Advanced degree in finance, econometrics, or quantitative discipline (e.g., mathematics, statistics, physics, electrical engineering, operations research). Other credentials such as CFA/CAIA may be relevant though not required. Strong technical background in model development, statistical analysis, and prototyping. Experience with Python, Java, SQL, and/or C++ Experience with Yield Book, Bloomberg OAS models, and the eMBS dataset is a plus Location The Quantitative Strategist will be based in Wellington's Global Headquarters in Boston, MA. As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, 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 characteristic protected by applicable law . 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 View email address on click.appcast.io . 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. The base salary range for this position is: USD 120,000 - 225,000. This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process. Base salary is only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back‑up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time) We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term. #J-18808-Ljbffr Mmbba