Python Software Engineer - Corporate Treasury - Analyst - Warsaw

CT Organization Description

Corporate Treasury Engineering team is looking for world class software engineers to work closely with Corporate Treasury business partners and help improve liquidity projections/optimizations, financial resource allocation and management, 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 a world 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 provided unique insight into the firm’s business activities and asset strategy. You will be responsible for defining, developing software’s to analyze data, built metric calculators, automated tools to help business get insights into data, predict scenarios and perform better decision making to reduce interest expenses for the firm. This front to back model gives software developer’s window into all aspects of CT planning and execution while working on cutting edge industrial technologies.

HOW WILL YOU FULFILL YOUR POTENTIAL:

• Use engineering to identify and measure risk and to implement quantitative and technical risk management solutions in software.
• Forge strong relationships with our key business partners, understand financial markets, liquidity management strategies to develop and enhance 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 architecture 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 to create real time impact and deliver product wi.th most commercial value.

BASIC QUALIFICATIONS:

• Bachelor’s or Master’s degree in computer science, Mathematics, Electrical Engineering or related technical discipline.
• Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts.
• 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.
• 1-3 years of technology programming experience, preferably Python and React

PREFERRED QUALIFICATIONS:

• Good programming experience in at least one compiled language (e.g. C, C++, Java) and familiarity with functional languages like Python and system design
• Experience in designing highly scalable, efficient systems.
• Familiarity with financial markets, financial assets, and liquidity management is a plus.