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 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 and being part of the engineering team will expose you to everything that’s important and happening at the firm. The scale of the liquidity optimization and execution problem keeps us interested every day and we hope to share our enthusiasm and challenges 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 businesses, including new growth areas like Marcus and Corporate Banking, to implement a new strategic real-time liquidity platform. You will be involved in Front-to-back liquidity modelling on an event bus backed by Kafka that will provide uniformity in all liquidity data that uses Spark for complex liquidity calculations. Clustered single store databases provide a high performance, scalable liquidity store. The platform will support a central execution capability to move assets around the globe to meet business obligations and facilitate significant optimization and automation capabilities. 

 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 analyse 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 fulfil your potential?

Translate business and technical requirements into well-engineered business applications based on object-oriented design.Interface with internal clients/end users and other development teamsParticipate in the full SDLC for software written with Java, SQL, RESTful web services, JMS messaging and web UIs.Opportunity to work on No-SQL database, micro-services, and AI Technologies

Basic Qualifications

Bachelor’s/ master’s degree in engineering1-3 years of experience with object orientated programming in Java.1-3 years of experience of relational databases or no-SQL databasesStrong analytical skills to perform complex functional and technical analysis.Strong communication skillsHighly enthusiastic, can-do attitude. 

Preferred Qualifications:

Experience in payments or liquidity managementFront-end skills in Angular JS or REACTExperience with messaging, e.g., Kafka, and event streamsExperience with SparkExperience in Big Data, Distributed systems, and Machine Learning

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.