Quantitative Researcher: Fixed Income
Virtu Financial, Inc. - Boston
Posted Oct 20, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Quantitative Researcher: Fixed Income Boston Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide The firm's complementary core offerings-market making, client execution services, and trading venues-give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. Investors around the world have better trading performance because of our everyday work. Our teams set the bar high and strive to provide best-in-class service to institutional investors around the world. From traders to technologists and everyone in between, we are passionate about innovating, solving problems and making an impact to the bottom line. THE ROLE Virtu is looking for an experienced, detail-oriented Quantitative Researcher to join our Financial Engineering team in Boston, supporting our Virtu Execution Services Business. The emphasis of this position is on the research, development, deployment and support of our industry-leading statistical models for pre and post-trade decision support for fixed income securities and making them available for trading applications. The successful candidate joins a strong team that conducts trading related research and development by applying principles of scientific computing, statistical learning as well as analytical and programming
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