AI Researcher

Posted 15 Days Ago
New York, NY
Entry level
Machine Learning • Software • Financial Services
The Role
The AI Researcher will focus on researching and developing innovative AI-driven quantitative trading strategies, analyzing large datasets with advanced statistical and machine learning techniques, and applying state-of-the-art technologies like deep neural networks and large language models to identify trading opportunities.
Summary Generated by Built In

As an AI Researcher at Vatic Labs, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g. GPT-4) to discover and capitalize on trading opportunities.

The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has 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, sharing AI and trading expertise across team members and fostering innovation and growth.

If you possess all or most of 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 Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
  • Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
  • Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.
  • Ability to generate impactful research in academic or professional pursuits.
  • Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.
  • Interest and enthusiasm for learning about financial markets (previous experience not required).

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.

Top Skills

C++
Python
The Company
New York, New York
31 Employees
On-site Workplace
Year Founded: 2013

What We Do

The word vatic means to describe or predict what will happen in the future, and that’s exactly what we do. Vatic Labs is a quantitative trading firm where traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology. We work together, building systems that boost market efficiency and transparency.

Please contact us directly to learn how your skills can be applied to the problems that we're solving!

[email protected]

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