Quantitative Analytics Specialist (001506) Irving,TX 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 Irving, TX. Job Role and Responsibility: As a quantitative analytic you cover jobs responsible for performing highly complex activities related to the design, development, validation, implementation, documentation, and on-going maintenance of quantitative models that offer insights to a wide range of product, business or risk mitigation initiatives. Utilizes advanced mathematical skills and programming to create and validate analytic models. You will 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: A PhD in Statistics, Mathematics, Physics, Computer Science, Economics, or related quantitative field and 2 years of experience in the job offered or in a related position involving quantitative analytics experience. Experience/skills can be gained through work experience or graduate level coursework. Specific skills required: • Experience using Python, R, SAS, C++ and SQL; • Ability to perform statistical analyses, hypothesis testing, time series analysis and time series forecasting (using ARMA, ARIMA, ARIMAX, Garch models), and implement them in code in Python or R; • Pricing of financial instruments and derivatives via Monte Carlo simulation methods, including simulating random processes such as Gaussian, t-Student distributions and log-normal distributions; • Correlation matrix estimation and forecasting, including factor-based models, exponentially-weighted moving averages, stochastic simulation; • Solution of systems of linear and non-linear equations; • Optimization, including gradient-based, stochastic and global methods, including differential evolution; • Parametric and non-parametric estimation of probability distributions, maximum likelihood estimation and moment-based methods; • Knowledge of financial instruments and their valuation techniques, including equity, bonds, and derivatives; • Financial concepts related to computation and estimation of returns, compounding, interest rates and short-rate modelling. Qualified applicants send resume to: recruiter_inbox@wellsfargo.com and reference Requisition #001506 in the subject line. Salary: $96,600 -$171,800 Job Ref: Ref - 001506