Quantitative Analytics Specialist

Minneapolis,MN

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. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

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 Quantitative Analytics Specialist in Minneapolis, MN.

Job Role and Responsibility: Wells Fargo seeks a Quantitative Analytics Specialist to 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. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address.

Travel required: None

Required Qualifications: Position requires a Master’s degree in Data Science, Statistics, or related quantitative field. Position requires 2 years of experience in the job offered or in a related quantitative analytics role.

Position requires experience in the following:

•2 years of practical quantitative programming experience with SAS, SQL, Python, R, and large datasets

•Programming languages used for statistical analysis and data programming including C++ and MATLAB

•Analytical software 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

•Supervised and unsupervised machine learning methodologies including artificial neural networks (ANN) and natural language processing (NLP)

•Software design patterns, software development life cycle, Machine Learning concepts, model design and performance, and evaluation testing

Skills can be gained through work experience or graduate degree coursework.

Qualified applicants send resume to: recruiter_inbox@wellsfargo.com and reference Requisition #001675 in the subject line. Job Ref: Ref #001675