Data Engineer - Corporate Treasury - Associate - Warsaw

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.

YOUR IMPACT:

Our Corporate Treasury Engineering team is an industry leader in developing quantitative techniques and technological solutions that solve complex and commercial business problems. We partner with our firm’s treasurer and other members of Corporate Treasury senior leadership to manage the firm’s liquidity risk, secured and unsecured funding programs, and the level and composition of consolidated and subsidiary equity capital and to invest any excess liquidity.

In this role, you will be part of a critical part of the organization in the Corporate Treasury Data Office, building and supporting a data strategy for the division, building out strategic data solutions to provide accurate and complete data for critical functions in the division and guarantee the division’s adherence to firmwide data policy and framework. You will have a unique opportunity to impact the division by driving the design and implementation of critical data flows that have a visible commercial impact. 

HOW WILL YOU FULFILL YOUR POTENTIAL:

• Forge strong relationships with our key business partners, understand financial markets and Corporate Treasury business functions to develop and enhance data pipelines in our treasury systems and processes.
• Apply analytics to drive commercial outcomes and communicate with precision and clarity.
• Understand business needs, facilitate and develop process workflow, data requirements, and specifications required to support implementation.
• Develop scalable solutions and implement software’s following full SDLC cycle.
• Explore latest technology offering and platforms to strategize and build optimum technology solutions.

Work very closely with business and other engineering teams to create real time impact and deliver product wi.th most commercial value

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.