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.

Wholesale Banking provides financial solutions to businesses across the United States and globally. Our four major business lines include Corporate & Investment Banking, Commercial Banking, Commercial Real Estate, and Wells Fargo Commercial Capital. We also have groups in credit risk, group risk, finance, marketing, human relations, and the Wholesale Chief Operating Office that support our businesses.

Wells Fargo Bank N.A. seeks a Quantitative Analytics Specialist in San Francisco, CA.

Job Role and Responsibility:

Execute on data science projects, follow the analytic plan set by the technical lead, actively participating in the development, deployment, monitoring of the model. Learn the practice of data science and data engineering within the organization and help its furthering through bringing in relevant research ideas. Work with our internal data science teams throughout Enterprise Analytics & Data Science, and possibly with other analytics teams across the enterprise, to provide data transformation and data wrangling functions using cutting edge advanced analytics tools and methods. Help define the monitoring and maintenance plan for the model. Play a role in the following areas: development of the data pipeline leading into model training and scoring and development of the model operationalization pipeline. 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 :

Master's degree in Statistics, Mathematics, Physics, Engineering, Computer Science, Economics, or related quantitative field. Position requires experience in the following: Skills can be gained through work experience or graduate degree coursework.

• Python or R experience with Machine Learning tools;

• Data transformation and data wrangling experience, using tools such as SQL;

• Exposure to quantitative machine learning techniques;

• Development experience with languages like Python, Java, Scala, or R;

• Solid understanding of machine learning techniques such as neural networks, random forest, GBM and SVM;

• Exposure to big data tools like Spark, Hive, Kafka, and Map Reduce; and

• Experience with machine learning libraries such as MLlib, scikit-learn, H2O.

Salary: $115,900.00 - $206,100.00

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.

$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.

• 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:

13 Sep 2024

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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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.

Candidates applying to job openings posted in US: 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.

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.

Company: WELLS FARGO BANK

Req Number: R-397984

Updated: Sat Sep 14 04:31:15 UTC 2024

Location: SAN FRANCISCO,California