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A global investment firm in London is seeking a Quantitative Analyst to develop funding pricing models and analytics frameworks. The ideal candidate will have advanced degrees in quantitative fields and solid programming skills in Python. You will work closely with various teams to deliver insights and manage risk effectively. The role requires excellent problem-solving abilities and strong communication skills, joining a diverse team committed to inclusion.
Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm’s liquidity and managing its risk. The Funds Transfer Pricing (FTP) Strats team within Treasury is dedicated to developing robust quantitative Asset Liability Management (ALM) models and frameworks. This enables the accurate pricing, incentivization, and execution of funding transfers, utilizing liabilities such as deposits and notes, to support the Firm's asset-generating revenue activities. The team collaborates closely with Treasury traders, deposit and revenue businesses, Risk, and senior leadership across the Firm to strategically manage the overall balance sheet and enhance risk management.
FTP’s primary objectives are:
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