Quant Analytics Senior Associate
Core
Improve LLM and GenAI model performance, automate reporting, and identify customer friction points to strengthen operational processes and applications.
Role type
Senior IC Quant Analytics Associate (Machine Learning & GenAI)
Builds
Conversational Insights and Insights for Coaching products; customer self-service capabilities across engagement channels
Domain
Consumer Banking / Machine Learning / Generative AI
Deliverable
production ML models | product features
Required skills
Multivariate statistics, regression analysis, causal inference (DD, PM, NN), machine learning, natural language processing, large language models, controlled experiments, multivariate regression, logistic regression, clustering, classification (LightGBM, XGBoost), data preparation, visualization
Preferred skills
Big data ETL processes, IT processes and databases, consumer banking domain knowledge (operations, servicing, collections, marketing)
Technologies
AWS, Spark/EMR, ChatGPT, Confluence, Snowflake, Tableau, Alteryx, Python, Jupyter Notebook, SQL, Excel
Responsibilities
Transform complex datasets and automate reporting; partner with cross-functional teams to validate hypotheses and uncover production issues; develop SQL and Python codebases and document data dictionaries; investigate and resolve issues across data collection, model development, and production stages; contribute to agile teams for new product development
Seniority
Senior, hands-on IC