Quantitative Analytics Specialist Jobs

About This Role

Wells Fargo's Corporate Model Risk (CMoR) 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.

In This Role, You Will

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:

• Identifying state-of-the-art techniques in modeling (statistics and ML) as well as optimization for application in risk management;
• Collaborating with internal and external quantitative communities to keep abreast of latest developments and practices in quantitative risk.
• Developing model library to support model risk assessment; and
• Conducting applied research to drive the development of methodology and algorithms;
• Implementing the techniques in fast and scalable algorithms in our advanced computing platform;
• Disseminating best practice across the quantitative modeling community within the bank;

Required Qualifications, US:

• Master's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline.
• 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• Ability to work in cross-organizational projects and collaboratively with other groups.
• Proficiency in software development;
• Experience with ML/AI computing platforms and tools such as TensorFlow and Keras;
• Ability to work with large datasets and some experience in database management and tools such as Hadoop, Spark and SQL;
• Excellent writing and communication skills for documentation and presentations to audiences of all technical backgrounds;
• Strong computing and programming background and knowledge of one or more languages such as Python and Java;
• Ability to take initiative and work independently in a structured environment;
• Strong conceptual and quantitative problem-solving skills and demonstrated ability to contribute independently; and
• In-depth knowledge of ML methodologies such as ensemble algorithms, neural networks, supervised and unsupervised learning;
• A PhD in statistics, computer science, optimization, electrical engineering or a related quantitative discipline;
• Experience with GPU programming, multi-core, or distributed programming;

Pay Range

$96,600.00 - $171,800.00 Annual

Benefits

Wells Fargo provides all eligible full- and part-time employees with a comprehensive set of benefits designed to protect their physical and financial health and to help them make the most of their financial future. Visit Benefits - Wells Fargo Careers for an overview of the following benefit plans and programs offered to employees.

• Adoption Reimbursement
• Critical Caregiving Leave
• Tuition Reimbursement
• 401(k) Plan
• Commuter Benefits
• Paid Time Off
• Scholarships for dependent children
• Parental Leave
• Health Benefits
• Discounts and Savings

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, age, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Drug and Alcohol Policy

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

Reference Number

R-289883