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A leading global investment firm in London seeks a Quantitative Analyst to design frameworks for accurate funding pricing and manage data engineering solutions. The ideal candidate holds an advanced quantitative degree, has strong analytical skills, and is proficient in Python. This role offers an opportunity to collaborate globally and drive financial strategies.
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.
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