Melwy · 5 hours ago
Senior Quantitative Researcher - Algorithmic Trading with AI
New York, NY
Full-time
Remote
Senior Level
Maximize your interview chancesBiotechnology
Insider Connection @Melwy
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Researching, developing, and implementing state-of-the-art RL algorithms to optimize the performance of LLMs for algorithmic trading.
Designing and developing innovative methods to integrate RL techniques with LLM architectures for financial market prediction and decision-making.
Enhancing the adaptability, efficiency, and robustness of LLMs using RL techniques like reinforcement learning from human feedback (RLHF).
Building scalable and efficient pipelines for training RL-augmented LLMs.
Collaborating with software developers and data scientists to improve trading infrastructure.
Analyzing historical and real-time 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 top-tier conferences.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
Proven expertise in reinforcement learning and its application to NLP or generative AI.
Strong background in deep learning, particularly in LLMs and RL algorithms such as PPO, DDPG, SAC, and RLHF.
Experience with large-scale 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, RLlib, or similar.
Strong mathematical understanding of RL 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.
Strong analytical and problem-solving capabilities.
Self-driven, innovative, and collaborative.
Ability to work independently in a remote, cross-cultural environment.
Ability to thrive in a fast-paced, results-driven environment.
Demonstrated ability to generate impactful research in academic and professional pursuits.
Benefits
Fully remote work environment with flexible hours.
Competitive salary and equity package.
Regular virtual team-building events and knowledge-sharing sessions.
Support for continued learning, conference attendance, and professional development.
Company
Melwy
Melwy (ex-Startcrowd) is an online lab in artificial intelligence and data science, for precision medicine and drug discovery.
1 employee
Funding
Current Stage
Early StageCompany data provided by crunchbase
