AI Researcher

About the role

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.

Responsibilities

• Research and develop innovative AI-driven quantitative trading strategies
• Explore vast amounts of market and alternative data
• Invent and apply new technologies inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g. GPT-4)
• Discover and capitalize on trading opportunities using advanced AI methods and trading strategies

Requirements

• Earned or will earn a 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).
• 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).

Qualifications

Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
Comprehensive health benefits – Full health insurance coverage for employees and dependents.
Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office.
Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.
Unlimited office snacks – Fuel your day with your favorite snacks, always stocked.
Fun team outings – Build camaraderie and unwind with regular events.
Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another.

Benefits

Base salary range: $175,000 - $250,000
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.

Pay

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.

Schedule

Not specified