A leading financial services firm in New York is seeking an experienced Machine Learning Researcher / Applied Scientist to join its Senior Portfolio Management team. The role involves designing ML models to analyze datasets for generating actionable insights in systematic equities strategies. Ideal candidates will have a PhD in a related field and extensive experience in machine learning and artificial intelligence, particularly in financial applications.
Qualifications
Extensive experience as an ML / AI / Applied Scientist from a big tech company.
Prior professional ML / AI projects covering GenAI, NLP, LLM, Deep Learning, Reinforcement Learning.
PhD Degree from a top university in Computer Science, Engineering, Physics, Mathematics or related fields.
Responsibilities
Design and implement ML/AI models and experiments against diverse datasets.
Collaborate with the Portfolio Management team to translate research findings into signals.
Prototype and evaluate new algorithms suitable for financial time series.
Communicate results to stakeholders and document methodologies.
Skills
Machine Learning
Artificial Intelligence
Deep Learning
Reinforcement Learning
Natural Language Processing
Education
PhD Degree in relevant field
Job description
A leading financial services firm in New York is seeking an experienced Machine Learning Researcher / Applied Scientist to join its Senior Portfolio Management team. The role involves designing ML models to analyze datasets for generating actionable insights in systematic equities strategies. Ideal candidates will have a PhD in a related field and extensive experience in machine learning and artificial intelligence, particularly in financial applications.