Securities Quantitative Analytics… at Wells Fargo · NEW YORK

Summary: Wells Fargo is a financial services company seeking a Securities Quantitative Analytics Associate in New York, New York. The role involves developing and calibrating analytical models, performing complex financial analysis, and providing insights for business initiatives. 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 Required Qualifications: - PhD degree in Physics, Statistics, Mathematics, or related quantitative field - one (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 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 Required Skills: Python, R, SAS, C++, SQL, MATLAB, Hadoop, NoSQL, Linux, Unix Operating Systems, Predictive Modeling, Statistical Modeling, Machine Learning, Stochastic Modeling, Optimization, Simulation, Computational Statistics, Model Development, Model Validation Benefits: Health benefits, 401(k) Plan, Paid time off, Disability benefits, Life insurance, critical illness insurance, and accident insurance, Parental leave, Critical caregiving leave, Discounts and savings, Commuter benefits, Tuition reimbursement, Scholarships for dependent children, Adoption reimbursement