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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | SBU Head / CEO / Director |
EmploymentType | Full-time |
MORE ABOUT THIS JOBFinance Engineering- Corporate Treasury Strats Vice PresidentIn Finance Engineering, you ll find an exciting confluence of computer science, finance and mathematics being used to solve for what our shareholders would like from us a high return for the right risk taken.The Corporate Treasury Strats team is looking for world class quantitative programmers to work closely with Corporate Treasury partners to employ quantitative analytics to drive optimizations of firm liquidity, cash and collateral management, funds transfer pricing and trade execution strategies. This is an integrated group which both explores new ideas for optimizing the funding management of the firm and also executes trading strategies, all in one team.Corporate Treasury lies at the heart of Goldman Sachs, ensuring that businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm s funding costs and managing liquidity risks. As part of the Corporate Treasury Engineering team you will be exposed to securities division and banking initiatives, to new business activities, and to critical strategic programs Goldman Sachs pursues to maintain its leadership among global financial institutions.Your Impact: Corporate Treasury Strats use their engineering and/or scientific background to implement quantitative analytics and management solutions in software. Corporate Treasury Engineering products guide funding sourcing decisions, allocation of financial resources, quantification of funding costs, and strategies to minimize costs and hedge risks. Successful strats are highly analytical, driven to own commercial outcomes, and communicate with precision and clarity.Corporate Treasury Strats welcomes applicants with a Masters or a PhD in financial engineering/financial math; quantitative sciences, e.g. physics, statistics, applied math or other quantitative discipline; or relevant professional experience. Strong analytical skills, mathematical fluency, and programming abilities are required. RESPONSIBILITIES AND QUALIFICATIONS How you will fulfill your potential:
Keyskills :
project managementcost control interest rate risk managementrisk management software designcomputer science machine learningfina