Securities Quantitative Analytics Associate (#001924)

Wells Fargo Bank•New York, NY

17h•Hybrid

About The Position

Wells Fargo Bank N.A. seeks a Securities Quantitative Analytics Associate in New York, NY. This role involves developing, implementing, and calibrating analytical models, performing complex activities related to financial products, business analysis, and modeling. The associate will also conduct basic statistical and mathematical modeling using Python, R, Java, C++, and SQL, provide analytical support and insights for business initiatives, and recommend process improvements in risk management. Collaboration with peers, colleagues, managers, and regulators is expected to resolve issues and achieve goals. Telecommuting is permitted up to 2 days a week, but the position requires in-person attendance at the work address.

Requirements

PhD in Physics, Statistics, Mathematics, or related quantitative field.
1 year of experience in the job offered or in a related quantitative analytics role.
Programming languages used for statistical analysis and data programming including C++, Python, SQL, and Java.
Predictive modeling using statistical and machine learning techniques.
Stochastic Modeling, Optimization, Simulation, Computational Statistics, and Machine Learning.
Statistical model development and validation.
Documenting and presenting detailed model development and validation outcomes and results.
Utilizing best modeling practices and methodologies in the areas of data processing, sampling, model design/specification, model performance assessment, and evaluation testing.

Responsibilities

Develop, implement, and calibrate various analytical models.
Perform highly complex activities related to financial products, business analysis and modeling.
Perform basic statistical and mathematical models using Python, R, Java, C++ and SQL.
Perform analytical support and provide insights regarding a wide array of business initiatives.
Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management.
Collaborate and consult with peers, colleagues, managers and regulators to resolve issues and achieve goals.