Vice President; Trader

Job Description: Responsibilities Analyze current trading workflows, perform risk inventory management delivered from OTC client flows and identify opportunities for system improvements and automation. Design and develop software solutions, tools, and dashboards to support risk analytics, product pricing, and trade lifecycle automation. Build and maintain scalable data processing systems to handle financial data ingestion, transformation, and visualization. Develop statistical models and analytics frameworks to assist with trade performance analysis and strategy support. Collaborate with traders, sales and structuring personnel to create new investible strategy products, translate trading requirements into system features and technical specifications. Monitor and enhance performance of existing platforms for trade booking, reporting, and index management. Ensure system accuracy, integrity, and compliance through routine audits, testing, and documentation. Required Skills & Experience Master's degree or equivalent in Computational Finance, Economics, Mathematics, or related. 3 years of experience in the job offered or a related Quantitative occupation. Must include 3 years of experience in each of the following: Utilizing market making experience in commodities benchmark indices and commodities quantitative investible strategies (QIS) products. Understanding of the commodities markets across sectors and abilities to perform hedges and execution in line with market liquidity while controlling market impact. Pricing for Request-for-Quotes (RFQs) from clients using product knowledge on exotic derivatives, including vanilla and exotic options, futures, forwards, swaps, variance/volatility swaps. Understanding of model limitations in derivative pricing models, including Black-Scholes Model, Bachelier Model, local and stochastic volatility model and performing risk management on the books. Observing the market dynamics, performing data analytics and coming up with new idea initiatives and performing backtesting on systematic trading strategies and performing cross-team collaboration with structuring, quant and tech teams to develop new investible strategy products. Utilizing Python and VBA to perform data analytics on financial data and build tools to improve trading and risk management efficiency. Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details Pay range $225,000.00 - $235,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible: This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits: This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve. #J-18808-Ljbffr