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Wells Fargo
Senior Quantitative Analytics Specialist (#001806)
Career Insights for Financial Quantitative Analyst
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Based on Minnesota data
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What they do
A Financial Quantitative Analyst develops mathematical or statistical models used in the financial sector. Applies models and quantitative methods to analyze securities or other business data; provides analysis used to inform investment and trading strategies and manage risk.
$121,660 / year median in Minnesota
-13% projected decline
Job Description
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. Wells Fargo Bank N.A. seeks a Senior Quantitative Analytics Specialist in Minneapolis, MN.
Job Role and Responsibility:
Perform highly complex activities related to creation, implementation and documentation. Use highly complex statistical theory to quantify, analyze and manage markets. Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives. Utilize structured securities and provide expertise on theory and mathematics behind the data. Manage market, credit, and operational risks to forecast losses and compute capital requirements. Participate in the discussion related to analytical strategies, modeling and forecasting methods. Identify structure to influence global assessments, inclusive of technical, audit and market perspectives. Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills. Telecommuting is permitted up to 1 day a week. Position must appear in person to the location listed as the work address.Travel required:
0%Required Qualifications :
Degree required: Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline. Alternative degree required : PhD in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative discipline. Amount and type of experience required: 4 years of experience in the job offered or in a related quantitative analytics role. Alternate combination of education and experience.Alternative experience required:
1 year of experience in the job offered or in a related quantitative analytics role.Specific skills required:
Specific skills required:- Data analysis, modeling, and programming experience using SAS and Python or R;
- Significant analytic experience in statistical, econometric, and machine learning approaches to data analysis and modeling;
- Experience working with relational databases and Hadoop data file systems;
- Theoretical and applied knowledge pertinent to build Pre-Provision Net Revenue PPNR forecasting models using advanced statistical techniques/machine learning for stress testing;
- Experience with linear model technique including time-series, OLS, logistic regression, hazard models, and panel regression.
Salary:
$153,000- $239,000 Pay Range Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $0.00
- $0.00 Benefits Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits
- Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.