Senior Quantitative Analytics Specialist

Wells Fargo•Minneapolis, MN

6d•$139,000 - $239,000•Hybrid

About The Position

Wells Fargo is seeking a Senior Quantitative Analytics Specialist to join our team. This role supports the development, implementation, and enhancement of advanced analytical models and methodologies used to evaluate and manage credit risk. The successful candidate will leverage statistical, econometric, and machine learning techniques to deliver insights that support credit decisioning, portfolio management, and business strategy. This position offers an opportunity to collaborate with business partners, model developers, risk professionals and auditors while working with large-scale data and innovative analytical solutions.

Requirements

4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Masters degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Nice To Haves

Data analysis, modeling, and programming experience using SAS and Python or R
Experience contributing to and maintaining code within a collaborative team environment.
Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling
Experience working with relational databases and S3 or Iceberg data file systems and distributed data processing tools such as Spark
Theoretical and applied knowledge pertinent to build Credit Decisioning models using advanced statistical techniques/machine learning for credit decisioning and account management
Experience with linear model and Machine Learning techniques including time-series, OLS, logistic regression, hazard models, panel regression, gradient boosted decision trees

Responsibilities

Perform highly complex activities related to creation, implementation, and documentation
Use highly complex statistical theory to quantify, analyze and manage credit risk.
Participate in the discussion related to analytical strategies, modeling and forecasting methods
Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills