Kempstar is an independent commodity trading firm focused on the distribution, supply and trading of liquid fuel throughout the United States.
Kempstar was formed in 2015 as a partnership among a team of successful entrepreneurs, seasoned commodity experts and senior executives. Together this partnership has the tools and insight to properly manage risks while providing the best possible prices with unsurpassed service. From major oil companies and biofuel refiners, to blenders and retailers, Kempstar is able to add value at each stage of the supply chain.
Kempstar’s organizational structure encourages an entrepreneurial and collaborative approach. Everyone’s primary focus is on delivering results, and delivering them efficiently and safely.
Responsibilities
- Manage all trade support and analysis for the entire trading desk.
- Responsible for providing reports and analysis.
- Daily reconciliation of the firm’s trading P&L and position.
- Physical commodities logistics / scheduling.
- Contract generation and review for physical commodity trades done directly with counterparties.
- Invoice generation and collection, and support of the firms lending facility requirements to maximize the flow of working capital for all physical transactions on a day to day basis.
Qualifications
- Bachelor ‘s degree in accounting or finance from an accredited college or university required.
- 2-5 years of Operations and/or Accounting Experience.
- Previous experience working with physical inventory.
- Commodity experience a plus.
Additional Skills/Competencies:
- Superior written and oral communication skills.
- Flexibility to work in a fast-paced, dynamic, lean environment, with hands on team player approach.
- The ability to handle change and make the necessary adjustments to processes.
- Ability to work with minimum supervision.
- Demonstrate attention to detail and follow through to resolve issues.
- Capability to deal with internal and external customers in a competent and professional manner.
- Independent thinker with the ability to analyze and evaluate large volumes of data for accuracy and reasonableness.
- Microsoft Excel Proficiency required.