Lead Quantitative Analytics Associate

Conduct quantitative analysis, including hypothesis testing and root-cause analysis, on large datasets with increasing autonomy Identify information needed for analysis and business questions Create data structures and transformations for group analysis Develop, maintain, and anticipate implementation considerations for statistical and machine-learning models Ensure models address the appropriate business need Select the appropriate analytical approach for each problem statement Anticipate business needs and continuously improve models and processes Translate data into insights and communicate findings to peers and the analytics community Support working groups and collaborate with business partners Requirements Bachelor’s degree (or equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or another quantitative discipline Minimum of 2 years of relevant experience, or minimum of 1 year of experience with a Master’s or PhD Understanding of data structures and transformations Ability to identify and capture information needed for business needs or analysis Knowledge of data controls, hypothesis testing, and root-cause analysis Advanced Microsoft Office Suite skills SQL/NoSQL knowledge Knowledge of relational data structures Experience selecting and retrieving structured and unstructured data, including archival and ETL Database knowledge Advanced Python, R, or SAS skills Efficient coding and strong code controls Ability to translate code into high-level commentary Understanding of cloud-based and distributed computing Understanding of model use, requirements, implementation needs, and Model Risk Management foundations Ability to test for model deterioration and model health Understanding of machine-learning fundamentals and statistical measurements used in modeling frameworks Ability to produce and identify information through statistical analysis Ability to explain model insights to peers and the analytics community``` Ability to identify the preferred approach for a problem statement Solid writing and presentation skills Understanding of business partner strategy and banking operations Ability to analyze and recommend solutions to moderately complex problems Core Competencies Demonstrates expertise in quantitative analysis, including hypothesis testing and root-cause analysis, while effectively translating data insights for business applications. Proficient in statistical and machine-learning model development, with a strong understanding of data structures and transformations. Highest-signal resume keywords Quantitative Analysis Statistical Modeling Machine Learning SQL/NoSQL Python, R, or SAS ATS Optimization Keywords Hard Skills Hypothesis Testing Root-Cause Analysis Data Structures Data Transformations Statistical Analysis Model Risk Management ETL Database Knowledge Coding Efficiency Model Health Testing Soft Skills Solid Writing Skills Presentation Skills Collaboration Industry Keywords Banking Operations Business Partner Strategy Predictive Modeling Data Controls Tools & Technologies Microsoft Office Suite Cloud-Based Computing Distributed Computing #J-18808-Ljbffr Jobtailor