As an Execution Quantitative Researcher, you will develop tools and analytics to improve trading of quantitative strategies at Vatic. Researchers explore vast amounts of market data, applying novel machine-learning algorithms and statistical approaches to discover and capitalize on market opportunities. Execution is an integral part of capturing these anomalies.

The nature of the problems we work on are challenging, hence we hire some of the world's top talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists have been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer reviewed, scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, fostering innovation and growth.

If you possess the following, we would love to explore what is available for you with our team:

• Earned or will earn a Master’s or Ph.D. in a quantitative field, such as Math or Statistics
• Ability to generate impactful research in academic or professional pursuits
• Experience studying market impact and developing pre and post trade cost analytics
• Manage full life-cycle of execution strategies using advanced statistical techniques
• Demonstrate deep knowledge of time-series analysis
• Advanced understanding of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
• Exposure to C++ or related compiled language
• Interest and enthusiasm for learning about financial markets 

While we are serious about our work at Vatic, we also promote a fun environment! You can expect:

• Ping pong and poker games
• Fun team outings
• Unlimited office snacks
• Free breakfast, lunch, and dinner
• Gym membership
• Full health insurance coverage for employees and dependents

The base salary range for this role is between $175,000 and $250,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.