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Bank Of America Vice President Trader United States, New York, New York 213973167
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Responsible for risk management and trading activities with limited direction from more senior staff.
Work closely with sales across varying time zones to get the "right price" to the "right client" given risk tolerance and balance sheet constraints.
Conduct profit and loss and risk reconciliation.
Market-make linear and non-linear derivatives across the main oil indices for the bank’s corporate and institutional clients.
Manage workflow from front to back, including quotes, hedges, trades and downstream processes to minimize operational risks while optimizing market risk.
Manage market risk, liquidity risk and delivery risk and support broader trading desk.
Understand, build and maintain a Supply and Demand model for crude and refined oil products.
Build BofA Commodities franchise and grow our market share by supporting the sales team with competitive pricing, analysis and market color.
Price and hedge vanilla options.
Understand technicalities in derivatives mechanics and risk management and the implications of events on the entire trading desk, anticipate market outcomes.
Understand market drivers and be able to clearly communicate these to sales colleagues and clients.
Leverage technology and analytics to drive pricing/hedging as well as idea generation.
Utilize statistical analysis of multiple data sets to provide forward estimates for crude and refined oil products balances incorporating inter-regional flows.
Track and forecast daily fundamental drivers of oil markets and calculate locational arbitrages of oil to generate trade ideas for risk deployment.
Use Python programming to monitor price patterns, evaluate basis and crack risks, predict likely price action following events, and conduct scenario-based market event analysis to anatomize price shocks.
Move desk tasks from Excel to Python to scrub price and inventory data for anomalies and optimization of internal database management.
Transfer Excel based balances to programming based balances to improve market analysis of forward supply/demand balances in the oil balance.
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Master's degree or equivalent in Computational Finance, Economics, Business Administration, Finance or related: and
3 years of experience in the job offered or a related Finance occupation.
Must have 3 years of experience in each of the following:
Utilizing statistical analysis of multiple data sets to provide forward estimates for crude and refined oil products balances incorporating inter-regional flows;
Tracking and forecasting daily fundamental drivers of oil markets and calculate locational arbitrages of oil to generate trade ideas for risk deployment;
Using Python programming to monitor price patterns, evaluate basis and crack risks, predict likely price action following events, and conduct scenario-based market event analysis to anatomize price shocks;
Moving desk tasks from Excel to Python to scrub price and inventory data for anomalies and optimization of internal database management; and
Transferring Excel based balances to programming based balances to improve market analysis of forward supply/demand balances in the oil balance.
In the alternative, the employer will accept a Bachelor's degree and 5 years of progressively responsible experience.
If interested apply online ator email your resume toand reference the job title of the role and requisition number.
Employer:Merrill Lynch Commodities Inc.
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