Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
Support the working group by identifying types of information needed for analysis or to inform business questions
Create data structures/transformations to be leveraged by groups for analysis
Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
Use critical thinking to use the right approach for each problem statement
Anticipate business needs and make continuous improvements to models and processes

Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines
at least 2 years of relevant experience; 1 with Master’s or PhD
Understanding of and ability to create data structures / transformations
Identify and capture different types of information for business needs or necessary for analysis
Data controls
Hypothesis testing / root-cause analysis
Leverage and anticipate considerations in implementation
Advanced Microsoft Office Suite
SQL/NoSQL Relationship data structure
Selecting and retrieving data including unstructured data retrieval, archival, and ETL
Databases
Advanced Python/R/SAS: Databases
Efficient coding
Build strong code controls and translate code into high-level commentary
Understanding of and ability to leverage cloud-based computing
Understanding of model use, requirements, and implementation needs
Model Risk Management process and foundations
Testing for deterioration and model health
Understanding of scale and fundamental concepts of Machine Learning
Ability to produce and identify information through statistical analysis
Effectively explain model insights to peers and analytics community
Identify preferred approach given the problem statement.

eligibility for incentive compensation which may include production, commission, and/or discretionary incentives
flexible options in circumstances where roles can be performed effectively in a mobile environment

Quantitative Analytics Lead Associate

Key skills