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.
$185,000.00 - $300,000.00

APPLICANTS WITH DISABILITIES

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

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

Required Qualifications:

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

Desired Qualifications:

• 5+ years of quantitative development experience
• 4+ years interest rates modeling and model implementation.
• 4+ years of front office derivatives Quant model experience
• Team player with excellent verbal and written and interpersonal communication skills
• Strong experience in derivatives modeling and implementation, especially rates products and models.
• Experience working with Sales and Trading partners as a front office quant
• Solid knowledge of financial mathematics, particularly, stochastic calculus, Monte-Carlo and other numerical methods.
• Strong hands-on programming skills in C++ and Python, and proficient in the model implementation.
• Delivery focused with experience partnering with technology to deploy models within a system.
• Ability to work on multiple projects and effectively organize tasks, manage time, set priorities and meet deadlines.
• Strong interest in financial markets and willingness to provide practical solutions for the business stakeholders.
• Experience with model documentation and model validation.
• Demonstrated experience in successfully collaborating with others in a change driven environment.
• Master’s or higher degree or equivalent in computer science, computational finance, mathematics or similar technical fields.
• PhD degree or equivalent in computer science, computational finance or mathematic

Our Corporate & Investment Banking Front Office Quantitative Model Development Team is working on a strategic buildout initiative. This strategic initiative will enhance our ability to partner and deliver excellent quality and service to our trading and sales partners as our platform continues to grow.
Wells Fargo is seeking candidates for the role of Lead Securities Quantitative Analytics Specialist, which is a Vice President level role within the Corporate & Investment Banking organization (CIB). The successful candidate will be part of a team responsible for developing and implementing quantitative models and tools for Interest Rates risk management, trading, and pricing with focus on areas like forecasting, optimization, and risk mitigation. This is part of a strategic initiative to build new models that will be integrated into a holistic markets quantitative risk and trading platform. Specific work will be spearheaded by the Front Office rates quant group but will be integrated into a cross asset-class platform within CIB.
The candidate will have to collaborate with front office trading, risk oversight, technology, and model governance functions ensuring requirements are met and governance is adhered to. He/she will possess high quality communications skills both written and verbal in order to socialize the approaches and highlight progress and issues in need of support.

Essential duties and responsibilities include:

• Design, development, and implementation of quantitative models for interest rates risk management, trading strategies, and pricing of interest rates products.
• Develop, integrate, and deploy optimization-based curve construction in collaboration with other Quants, providing expertise in relevant software design, implementation and performance optimization.
• Effectively communicate and partner with Business Stakeholders, other Quant Teams, Technology and Project Management
• Deliver high-quality software and documentation following our standardized planning and Agile-based SDLC process.
• Support the trading desk with questions about deployed models.

In this role, you will:

• Proactively participate in complex software design & development activities within an Agile environment
• Contribute to large-scale project planning, balancing short and long-term objectives
• Use quantitative and advanced technologies to solve complex business problems
• Meet deliverables while adhering to policies, procedures, and compliance requirements
• Collaborate and consult with peers, colleagues, and project managers to resolve issues and achieve goals
• Effectively communicate with and build consensus with all project stakeholders

Required Qualifications:

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

Desired Qualifications:

• 5+ years of quantitative development experience
• 4+ years interest rates modeling and model implementation.
• 4+ years of front office derivatives Quant model experience
• Team player with excellent verbal and written and interpersonal communication skills
• Strong experience in derivatives modeling and implementation, especially rates products and models.
• Experience working with Sales and Trading partners as a front office quant
• Solid knowledge of financial mathematics, particularly, stochastic calculus, Monte-Carlo and other numerical methods.
• Strong hands-on programming skills in C++ and Python, and proficient in the model implementation.
• Delivery focused with experience partnering with technology to deploy models within a system.
• Ability to work on multiple projects and effectively organize tasks, manage time, set priorities and meet deadlines.
• Strong interest in financial markets and willingness to provide practical solutions for the business stakeholders.
• Experience with model documentation and model validation.
• Demonstrated experience in successfully collaborating with others in a change driven environment.
• Master’s or higher degree or equivalent in computer science, computational finance, mathematics or similar technical fields.
• PhD degree or equivalent in computer science, computational finance or mathematics