Securities Quantitative Analytics Associate (Req. #001537)

Wells Fargo & Company•New York, NY

1d•Hybrid

About The Position

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you. Corporate Risk helps all Wells Fargo businesses identify and manage risk. The team focuses on several key risk types, including conduct, credit, financial crimes, information security, interest rate, liquidity, market, model, operational, regulatory compliance, reputation, strategic, and technology risk. The group provides leadership, enhances communications, assists with problem identification and solutions, and shares best practices. In addition, the group provides an enterprise-wide view of risk, assists management and our Board of Directors in identifying and monitoring risks that may affect multiple lines of business, and takes appropriate action when business activities exceed the risk tolerance of the company. Wells Fargo Bank N.A. seeks a Securities Quantitative Analytics Associate in New York, New York. Job Role and Responsibility: 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, SAS, C++ and SQL. Perform analytical support and provide insights regarding a wide array of business initiatives. Provide solutions to business needs and analyze work flow 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. Remote / telecommute work available, up to 2 days per week. Position required to appear in person at the location listed as the work address. Travel required: None

Requirements

Position requires a PhD degree in Physics, Statistics, Mathematics, or related quantitative field and one (1) year of experience in the job offered or in a related quantitative analytics role. Experience can be gained concurrently with graduate degree education.
Programming languages used for statistical analysis and data programming including SAS, R, C++, Python, SQL, and MATLAB
Analytical software like Hadoop and NoSQL
Linux and Unix Operating Systems
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, SAS, C++ and SQL.
Perform analytical support and provide insights regarding a wide array of business initiatives.
Provide solutions to business needs and analyze work flow 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.