About this role:

Wells Fargo’s Model Risk Management (MRM) organization is seeking a highly qualified person to join its Advanced Technologies for Modeling (AToM) Group as a Quantitative Analytics Specialist (QAS). The responsibilities of the AToM Group include development of cutting-edge models, algorithms, visualization tools, and computing environment to advance the Bank’s practices in the areas of credit, operational, and market risk management.

This individual will be involved in the development of state-of-the-art methods in statistical modeling, machine learning (ML), and optimization as well as implementing them in fast and efficient algorithms. Specific duties include, but are not limited to, the following:

In this role, you will:

• Conducting applied research to drive the development of methodology and algorithms.

• Identifying state-of-the-art techniques in modeling (statistics and ML) as well as optimization for application in risk management.

• Implementing the techniques in fast and scalable algorithms in our advanced computing platform.

• Disseminating best practice across the quantitative modeling community within the bank.

• Developing model library to support model risk assessment; and

• Collaborating with internal and external quantitative communities to keep abreast of latest developments and practices in quantitative risk.

Required Qualifications:

• 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline

Desired Qualifications:

• A PhD in statistics, computer science, optimization, electrical engineering, or a related quantitative discipline

• In-depth knowledge of ML methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning

• Strong computing and programming background and knowledge of one or more languages such as Python and Java

• Experience with ML/AI computing platforms and tools such as TensorFlow and Keras

• Experience with GPU programming, multi-core, or distributed programming

• Ability to work with large datasets and some experience in database management and tools such as Hadoop, Spark and SQL;

• Proficiency in software development

• Ability to take initiative and work independently in a structured environment

• Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds

• Strong conceptual and quantitative problem-solving skills and demonstrated ability to contribute independently; and

• Ability to work in cross-organizational projects and collaboratively with other groups.

Ability to travel up to 10% of the time.

Willingness to work on-site at stated location on the job opening.

This position offers a hybrid work schedule.

This position is eligible for Visa sponsorship.

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.

Posting End Date:

*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.