Data Engineer - Corporate Treasury - Associate - Warsaw

at  Goldman Sachs

CT ORGANIZATION DESCRIPTION

Corporate Treasury Engineering team is looking for data engineers to work closely with Corporate Treasury partners and help improve liquidity projections/optimizations, cash and collateral management and funds transfer pricing and execution strategy.
This is a one-of-a-kind front to back integrated group that explores new ideas of optimizing firm liquidity position, manage risk and execute on the strategy, all in one team. The team is divided into five pillars each with its specific mandate. Whether you like to spend your energies into thinking about the scalable big data architecture, understanding the inventory and liquidity usage optimization algorithms or working with Traders directly on execution of trades and risk management, we have it all for you.
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 scale of the liquidity optimization, risk management and execution problem keep us interested every day and we hope to share our enthusiasm and challenge with you.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in computer science, Mathematics or related technical discipline.
• 2-5 years of engineering experience in Java, Python, SQL.
• Strong analytical and problem-solving skills – demonstrated ability to learn technologies.
• Comfortable multi-tasking, managing multiple stakeholders and working as part of a team.
• Excellent communication skills including experience speaking to technical and business audiences and working globally.
• Can apply an entrepreneurial approach and passion to problem solving and product development.

Please refer the Job description for details