Corporate Treasury-Software Engineering-Analyst-Bengaluru

Role Overview: You will be joining the Corporate Treasury Engineering team as a Software Engineer (Developer - Analyst/Associate) to work closely with Corporate Treasury business partners in optimizing liquidity projections, financial resource allocation, cash and collateral management, and funds transfer pricing and execution strategy. The team is uniquely integrated and divided into five pillars, each with a specific mandate, providing you with opportunities to work on scalable big data architecture, liquidity optimization algorithms, and trade execution strategies. Key Responsibilities: - Take ownership of designing, developing, testing, and documenting systems. - Collaborate with business users and developers globally. - Acquire an understanding of the business domain and requirements. Qualifications Required: - Degree in any STEM subject (or equivalent work experience). - 1+ years of professional experience coding in object-oriented or functional languages. - Experience in database technologies. - Strong technical, analytical, and communication skills. - Energetic, team-oriented, and self-motivated. Additional Company Details: The Corporate Treasury Engineering team at Goldman Sachs is a world leader in developing quantitative techniques and technological solutions to solve complex business problems. You will have the opportunity to work on a front-to-back liquidity modeling platform backed by Kafka, Spark for liquidity calculations, and a high-performance liquidity store. The role will provide you with unique insights into the firm's business activities and asset strategy, allowing you to contribute to data analysis, metric calculation, and decision-making tools to optimize the firm's interest expenses. Note: The technology stack includes Java, AWS, Hibernate, Spring Boot, Angular, React, DB2, MongoDB, Oracle, GS Search, Elastic search, and Kafka. Experience with cloud application development, exposure to IaC, Kubernetes, container-based deployment, and automated regression tool building are considered advantageous for this role.,