Front Office Commodities Quant - VP at Wells Fargo
Houston, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

03 Dec, 25

Salary

300000.0

Posted On

03 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Computational Finance, Software Implementation, Java, Mathematics, Coding Experience, C++, Communication Skills, Training

Industry

Financial Services

Description

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:

  • 4+ 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:

  • 4+ years of hands-on coding experience, C++ and Java are most relevant.
  • 2+ years of derivative product and market experience in commodities
  • Excellent verbal, written, and interpersonal communication skills
  • Experience with large scale software implementation in C++ and/or Java
  • Experience with Sales and Trading partners as a front office quant
  • Master’s or higher degree or equivalent in computer science, computational finance, mathematics or similar technical fields.
  • Master degree or equivalent in computer science, computational finance or mathematic
Responsibilities

The Lead Securities Quantitative Analytics Specialist is a Vice President level role within the Corporate & Investment Banking organization (CIB), working as a front office quant supporting the strategic build-out of WF’s commodities capabilities. The successful candidate will participate in all aspects of commodities modeling, including design, documentation, implementation, and its integration into CIB’s strategic risk platform, Vasara

Essential duties and responsibilities include:

  • Develop, integrate, and deploy commodities models, and the ongoing support.
  • 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 all Business Stakeholders, esp. trading desk, with questions.

In this role, you will:

  • Proactively participate in every stage of modeling, from mathematical formulas to final model implementation and delivery
  • 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
  • Serve as a mentor for less experienced staff

Required Qualifications:

  • 4+ 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:

  • 4+ years of hands-on coding experience, C++ and Java are most relevant.
  • 2+ years of derivative product and market experience in commodities
  • Excellent verbal, written, and interpersonal communication skills
  • Experience with large scale software implementation in C++ and/or Java
  • Experience with Sales and Trading partners as a front office quant
  • Master’s or higher degree or equivalent in computer science, computational finance, mathematics or similar technical fields.
  • Master degree or equivalent in computer science, computational finance or mathematics
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