We are looking for a machine learning and quant finance engineer to join our team. In this role, you will work on developing and implementing machine learning algorithms, including large language models (LLMs), for quantitative finance applications.

Responsibilities

Develop machine learning models using Python and frameworks like PyTorch, Pandas, Numpy to make predictions and gain insights from financial data
Work closely with the team to identify areas where ML/LLMs can add value
Research and implement latest advancements in deep learning, NLP, reinforcement learning etc. to continuously improve models
Optimize large language model interfaces for accuracy, speed and scalability
Participate in full lifecycle of projects from data extraction, preprocessing to model deployment in production

Requirements

BS/MS in Computer Science, Statistics, Mathematics or related quantitative field
Strong skills in Python, Pandas and machine learning frameworks like PyTorch
Strong grasp of machine learning algorithms like regression, classification, deep neural networks etc.
Experience working with large language models is a plus
Experience in quantitative finance or working with financial data is a plus
Coding proficiency and software engineering skills
Knowledge of tools like Git, SQL, NoSQL is desirable
Excellent analytical and communication skills
Ability to research and learn new technologies and techniques quickly

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