Treasury/Quantitative Analytics Senior Manager (ED)

About this role:

Wells Fargo is seeking a Quantitative Analytics Senior Manager to directly participate, lead, and organize a small Strats team in the analysis, development, and implementation of product and bank stress and forecast models within Liquidity Management. The candidate should be particularly adept at Python model implementation and integrated high-performance dynamic tooling.

Treasury at Wells Fargo is a dynamic team that is responsible for managing Wells Fargo's balance sheet including capital, liquidity, funding, and interest rate risk management. Treasury seeks to ensure Wells Fargo always maintains sufficient capital and liquidity resources to support growth in the Company's businesses, while also ensuring a satisfactory financial cushion exists to protect against unforeseen stresses in the economic environment or the Company's operations. Treasury also provides regulators, senior leaders, and the Board of Directors with key information to support risk management, financial performance management, and strategic planning.

In this role, you will:

• Build best in class models and tools that directly inform the Liquidity risk position of the firm
• Lead complex initiatives including creation, implementation, documentation, validation, and defense of statistical theory
• Leverage technology to apply mathematical and statistical techniques that represent financial product behaviors under different scenarios
• Manage projects across teams from devising an initial analysis through implementation
• Devise creative and novel solutions to methodology challenges or in response to market events
• Guide technology partners in the needs and future designs of our computational backbone
• Assist in the drafting of regulatory responses as needed
• Shepherd and document methodology changes and updates through technology and governance
• Present results of analysis and strategies to the management of the firm
• Develop and guide a culture of talent development to meet business objectives and strategy

Required Qualifications:

• 6+ years of Quantitative Analytical experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Desired Qualifications:

• Programming experience in Python, C++, or similar languages; familiarity with interface wrappers preferable; integration with large data environments
• A strong sense of ownership and self-starter with attention to detail
• Knowledge of bank products across retail and wholesale businesses
• Ability to deliver multiple concurrent projects or large-scale individual projects
• Polished communication skills and ability to communicate complex ideas in a simple, straightforward manner to executive management
• Thrives in a large organization, collaborating with many teams

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.
$173,300.00 - $359,900.00
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:
20 Apr 2025
* 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.