Optimization Research Scientist
Core
Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling; leads diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
Role type
senior IC optimization research scientist (quantitative finance)
Builds
production ML models | dashboards & analysis
Domain
finance + quantitative modeling
Deliverable
production ML models
Required skills
Python, machine learning, deep learning, statistical modeling, quantitative trading concepts, systematic workflows, fixed income investment management, out-of-sample testing, simulation, backtesting, research paper reproduction
Preferred skills
CFA, graduate degree in applied research/ML/quantitative modeling, systematic workflows in investment management
Technologies
SageMaker, Databricks
Responsibilities
Develop complex queries and perform extensive programming to access, transform, and prepare data for statistical modeling; lead and execute deep dive diagnostic, predictive, and prescriptive analytics; identify and diagnose data inconsistencies and errors; engage with internal stakeholders to understand business processes and develop hypotheses; guide test design, research design, and model validation; prepare and deliver insight presentations and action recommendations to business leaders
Seniority
Senior, hands-on IC