Asset Management - Equity Data Scientist -… at Chase · 270 Park…

Summary: Chase is a leading financial institution offering innovative financial solutions. They are seeking a Data Scientist to support AI/ML projects that enhance quantitative equity investment strategies, requiring hands-on experience in building models and pipelines to inform investment decisions. Responsibilities: - Prepare, clean, and engineer features from structured and unstructured financial data - Develop and test regression or machine learning models for return forecasting, alpha signals and risk insights under the guidance of senior researchers - Run portfolio backtests and analyze performance ; test new portfolio construction techniques - Build NLP/LLM pipelines for text data and extract signals - Collaborate with technology partners to help integrate research models into production - Create dashboards and reports to communicate model exposures, performance, and risk to portfolio managers and stakeholders Required Qualifications: - 0+ years of experience in data science or quantitative research - Advanced degree (Master's or PhD) - Proficiency in Python - Hands‑on experience with ML workflows: feature engineering, cross‑validation, hyperparameter tuning, and model evaluation - Clear communication skills, both verbal and written, with the ability to present complex ideas to both technical and non-technical audiences - Ability to manage multiple projects and deliver results in a fast-paced environment Preferred Qualifications: - Advanced Degree in data science, computer science, financial engineering, mathematics, statistics, or other quantitative/technical disciplines is preferred - Exposure to quantitative equity research, return prediction, or risk modeling is a plus - Experience with NLP/LLM methods (text preprocessing, embeddings, transformers) is a plus Required Skills: Python, Machine Learning workflows, Data Science Important Skills: NLP/LLM methods Nice-to-Have Skills: Project management Benefits: Comprehensive health care coverage, On-site health and wellness centers, A retirement savings plan, Backup childcare, Tuition reimbursement, Mental health support, Financial coaching