Quantitative Developer

About UsEnuit is an established technology leader in the commodity/energy trading & risk management space, providing mission-critical software platforms for metal, natural gas, electricity, crude, and refined product merchants such as utilities, refiners, producers, traders, and consumers. Enuit has the latest technology and is revolutionizing the development and implementation of Entrade, its flagship product, empowering clients to increase operational efficiency, to monitor and manage risk, and to increase profit margins along all aspects of their business from front to back. Entrade allows the traders, market and credit risk practitioners, operations and schedulers, and accountants to effectively manage a broad range of physically and financially traded commodities as well as the complex logistics operations associated with commodities such as natural gas, electricity, crude, and associated refined products, coal, metals, and agricultural products to name a few. Headquartered in Houston, Texas, Enuit has projects throughout North America and Asia with opportunities popping up with global partners across.Enuit is looking for a Quantitative Developer. As a Quantitative Developer, you will work closely with the product managers, business analysts, architects, and other developers as a team to continuously improve our product and services to clients all over the world.Description Of The OpportunityComprehensive understanding of accounting of physical cargos and derivatives, inventory, unrealized PNL, realized PNL Accrual, realized PNL actual, Cost-of-Goods-Sold, Provisional-To-Final Accrual.Being able to create journal entry mapping rules to create journal entries for the life cycle of physical cargo business.Good business and Entrade system knowledge of Iron Ore business such as Assay, Assay splitting, Price Formulas, Operational Processes, Inventory write-off etc.Perform quality assurance of the solutions developed by other developers.Play the role of a business analyst to groom developers during solution development process.Being able to hands-on code PNL Attribution in C# and explain it to colleagues.Through Understanding and work knowledge of Market Risk – including but not limited to Greeks, Stress Testing and Value-At-Risk.Hands-on experience with option pricing models, being able to program pricing models in C# and Python.Write Auto-Test Cases as necessary.Understand and being able to self-train new technologies in the areas such as Micro-Services APIs.