Quantitative Researcher - Analytics

Virtu Financial • Boston, MA

18h

About The Position

Virtu is looking for a detail-oriented quantitative researcher to join our Financial Engineering team in Boston. The emphasis of this position is on the research, development and maintenance of our industry-leading mathematical/statistical products, making them available for our clients.
The successful candidate joins a strong team that conducts trading-related research and development by applying principles of scientific computing and analytical and programming skills using modern state-of-the-art tools and software. The emphasis of this position is on the development, deployment and support of mathematical/statistical models for pre- and post-trade decision support as well as leveraging new technology to simplify QA, streamline model analysis and product support.
We create actionable products that improve decision-making for equity, fixed income, FX, and other asset classes. Investors around the world have better trading performance because of the work we do every day. From traders to technologists and everyone in between, Virtuans are passionate about innovating, solving problems and making an impact to the bottom line. Our teams set the bar high and strive to provide best-in-class service to institutional investors around the world.

Requirements

• PhD degree in a quantitative field (e.g., mathematics, physics, statistics and operations research)
• 2+ years industry or relevant PhD or PostDoc experience
• Self-driven, detail-oriented and capable of formulating and solving problems independently
• Experience with C++ and Python is required
• Experience with scalable and modular software development and deployment as well as in depth knowledge of algorithms and data structures
• Interest in developing and owning business applications of our models/analytics
• Capability to support the existing production environment and nimble enough to navigate predecessors’ code
• Ability to effectively use the Linux platform for development and high-throughput data processing

Nice To Haves

• Previous experience with statistical and optimization techniques is preferred
• Hands-on experience with intraday financial data and analytics is preferred
• Familiarity with Kx/q is a plus

Responsibilities

• Learn and be knowledgeable about our client execution data, analytics and models, lead new improvements and/or initiatives, and handle their support
• Develop re-usable common framework components that expose features of our analytics/model to internal and external clients, including integration of our new models into client-facing platforms
• Work with product managers, consultants and client services teams to understand, prioritize and effectively execute requirements
• Build robust production pipelines and automate validation and QA of new models and their applications
• Conduct critical comparison of alternative data sources and, if necessary, integrate them in the production pipeline
• Maintain and support existing research tools and products as well as audit new technologies and use-cases
• Apply advanced data processing techniques to enhance expert knowledge in measuring and analyzing realized transactions costs of Virtu’s peer clients

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree