Quantitative Researcher (Full Time - 2025 Grads)
Quantitative Researcher (Full Time - 2025 Grads)
Vatic Labs
New York, NY
See who Vatic Labs has hired for this role
As a Quantitative Researcher at Vatic, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. You will apply cutting edge machine learning and artificial intelligence algorithms to vast amounts of market data to discover and capitalize on trading opportunities.
We are selectively considering Researchers who have demonstrated the ability to generate impactful research in their academic and professional pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.
If you possess the following, we would love to explore what is available for you with our team:
You can expect:
We are selectively considering Researchers who have demonstrated the ability to generate impactful research in their academic and professional pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.
If you possess the following, we would love to explore what is available for you with our team:
- Earned or will earn a degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
- Demonstrable experience coding in C++ or Python in a Linux environment
- Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression
- In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
- Have innate curiosity for understanding why and how certain techniques work
- Have deep knowledge of time-series analysis
- Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
- Contribution to AI and ML research communities, top-tier peer reviewed publications, publishing/presenting papers at conferences such as NeurIPS, ICML, etc.
- Have interest and enthusiasm for learning about financial markets (previous experience not required)
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
-
Seniority level
Entry level -
Employment type
Full-time -
Job function
Finance and Sales -
Industries
Technology, Information and Internet
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