Assistant Vice President, Front Office Commodities Quant Associate

Wells Fargo & Company•New York, NY

1d•$143,000 - $224,000

About The Position

Wells Fargo is seeking a motivated individual joining our front office commodities quant team as an Area Vice President, Front Office Commodities Quant Associate in our New York, NY location. In this role, you will: Participate in less complex initiatives and identify opportunity for process improvements within Securities Quantitative Analytics Develop automated trading algorithms or create cutting-edge derivative pricing models and empirical models to provide insight into market behavior Combine mathematical programming and market expertise to build and generate systematic strategies Review and analyze basic business, operational, or technical assignments or challenges that require evaluation, and a selection of alternatives Exercise independent judgment to guide medium risk deliverables Use quantitative and technological techniques to solve complex business problems Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation Present recommendations for resolving more complex situations Exercise independent judgment while developing expertise in the Securities Quantitative Analytics Collaborate and consult with colleagues, internal partners, and stakeholders Play an integral role to the trading floor

Requirements

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

Nice To Haves

2+ years proven experience working with Sales and Trading as a front office desk quant within commodities trade products
Excellent verbal, written, and interpersonal communication skills.
Master's or PhD in Mathematics, Physics, Engineering, Computational or Quantitative Finance or a related technical field.
Strong hands-on coding experience in C++ and Python.
Experience with Java.

Responsibilities

Participate in less complex initiatives and identify opportunity for process improvements within Securities Quantitative Analytics
Develop automated trading algorithms or create cutting-edge derivative pricing models and empirical models to provide insight into market behavior
Combine mathematical programming and market expertise to build and generate systematic strategies
Review and analyze basic business, operational, or technical assignments or challenges that require evaluation, and a selection of alternatives
Exercise independent judgment to guide medium risk deliverables
Use quantitative and technological techniques to solve complex business problems
Conduct research on trading cost models, liquidity models, risk models, portfolio construction methodology, and signal generation
Present recommendations for resolving more complex situations
Exercise independent judgment while developing expertise in the Securities Quantitative Analytics
Collaborate and consult with colleagues, internal partners, and stakeholders
Play an integral role to the trading floor