Senior Lead Analytics Consultant (001345)

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.

Wells Fargo Technology sets IT strategy; enhances the design, development, and operations of our systems; optimizes the Wells Fargo infrastructure footprint; provides information security; and enables continuous banking access through in-store, online, ATM, and other channels to Wells Fargo’s more than 70 million global customers.

Wells Fargo Bank N.A. seeks a Senior Lead Analytics Consultant in New York, NY.

Job Role and Responsibility:

Translate of complex business requirements into technical specifications. Develop, test deployment and maintenance of business intelligence solutions that are senior executive level facing. Work directly with senior executives to design and iterate future reporting requirements. Provide ad-hoc reporting and analytic support across the CIB Banking teams (Coverage, M&A, and Capital Markets). Develop and expand relationships with CIB leadership, line of business COOs, Enterprise Data Management, and various support groups. Serve as an extension of the line of business COO teams by providing analytic support for strategic initiatives and day-to-day business management efforts. Prototype new reports and work closely with CIB Data Framework and prioritize, govern, and optimize recurring production reports and dashboards. Champion the business case for a data-driven CIB organization by providing actionable, fact-based business insight and analysis. Contribute thought leadership across the organization utilizing technical, domain, and business knowledge. Meet the needs of each line of business supported while ensuring conformance with data integrity standards. Stay current on new data and reporting technologies and actively participate in proof of concept (PoC) efforts. Partner with other areas of CIB and Wholesale to share best practices and collaborate on new initiatives. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address.

Travel required: No.

Required Qualifications :

Degree required: Bachelor's degree in Computer Science, Engineering, Mathematics, Science, Technology, or related quantitative field.

Amount and type of experience required: 7 years of experience in the job offered or in a related quantitative analytics role.

Alternative combination of education and experience: Master's degree in Computer Science, Engineering, Mathematics, Science, Technology, or related quantitative field + 5 years of experience in the job offered or in a related quantitative analytics role.

Specific skills required:

• Experience with Python;
• Experience with Hadoop;
• Experience with machine learning;
• Experience with statistical model development using R, Excel, Tableau, PowerBI, Alteryx, Python and OBIEE;
• Experience with model design and performance using R, Excel, Tableau, PowerBI, Alteryx, Python and OBIEE;
• Experience with evaluation testing using R, Excel, Tableau, PowerBI, Alteryx, Python and OBIEE;
• Experience with the translation of complex business requirements into technical specifications.

Salary: $167,000 - $260,000

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

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.

• 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

Posting End Date:

* Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.