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About Us
We are a cuttingedge fully remote team disrupting the world of algorithmic trading by leveraging large language models (LLMs).
Our mission is to develop fully autonomous trading agents and make advanced AI more accessible.
We foster an open and collaborative environment valuing diversity continuous learning and intellectual curiosity.
Role Summary
As a Senior Quantitative Researcher you will be responsible for researching developing and implementing stateoftheart algorithms to optimize the performance of LLMs for algorithmic trading. This includes:
Designing and developing innovative methods to enhance LLM architectures for financial market prediction and decisionmaking.
Building scalable and efficient pipelines for training and deploying LLMs.
Collaborating with software developers and data scientists to improve trading infrastructure.
Analyzing historical and realtime market data to identify trading opportunities and enhance strategy performance.
Optimizing and monitoring live trading algorithms to ensure consistent profitability.
Staying ahead of market trends industry regulations and emerging technologies.
Publishing research papers and presenting findings at toptier conferences.
Ideal Candidate Profile
Education:
PhD or Masters Degree in Computer Science Statistics Mathematics Electrical Engineering Physics or related fields.
Technical Expertise:
Proven expertise in natural language processing (NLP) and generative AI.
Strong background in deep learning particularly in LLM architectures.
Experience with largescale LLM training frameworks such as PyTorch or TensorFlow.
Proficiency with GPU acceleration (CUDA) and distributed computing.
Solid programming skills in Python or C and familiarity with frameworks like Hugging Face or similar.
Strong mathematical understanding of AI principles and their integration into LLMs.
Experience with algorithmic trading platforms and statistical modeling.
Strong knowledge of market microstructure and financial instruments.
Proven success in developing and executing trading strategies.
Understanding of risk management practices in trading.
Skills and Mindset:
Strong analytical and problemsolving capabilities.
Selfdriven innovative and collaborative.
Ability to work independently in a remote crosscultural environment.
Ability to thrive in a fastpaced resultsdriven environment.
Demonstrated ability to generate impactful research in academic and professional pursuits.
What We Offer
The opportunity to work on groundbreaking LLM technologies in the exciting field of algorithmic trading.
Fully remote work environment with flexible hours.
Competitive salary and equity package.
Regular virtual teambuilding events and knowledgesharing sessions.
Support for continued learning conference attendance and professional development.
A chance to make a significant impact in a rapidly growing field.
Full Time