Quantitative Analytics Lead Associate
Core
Develop and validate predictive and machine-learning models using statistics and advanced mathematical techniques to address business needs.
Role type
Lead Quantitative Analytics Associate
Builds
Predictive and prescriptive models for business partners
Domain
Banking / Quantitative Analytics
Deliverable
production ML models
Required skills
Statistics, advanced mathematical techniques, machine learning, hypothesis testing, root-cause analysis, SQL/NoSQL, Python/R/SAS, data structures/transformations, ETL, cloud-based computing, distributed computing
Preferred skills
Model Risk Management, statistical measurements, data controls
Technologies
Microsoft Office Suite, SQL, NoSQL, Python, R, SAS
Responsibilities
Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets; Support the working group by identifying information needed for analysis and creating data structures; Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in model implementation; Use critical thinking to select the right approach for each problem statement; Anticipate business needs and make continuous improvements to models and processes
Seniority
Mid-level, some self-direction with supervision
