Technical Lead for Liquidity Optimization
2 tygodni temu
Corporate Treasury Engineering Team Overview
At Infotree Global Solutions, our Corporate Treasury Engineering team is a world leader in developing quantitative techniques and technological solutions that solve complex commercial business problems. We partner with our firm's treasurer and businesses to implement a new strategic real-time liquidity platform.
Your Impact
You will be involved in front-to-back liquidity modelling on an event bus that provides a real-time operational liquidity platform. With unique insight into the firm's business activities and asset strategy, you will be responsible for defining, developing software 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.
Key Responsibilities
· Translate business and technical requirements into well-engineered business applications based on object-oriented design.
· Build global, high-class and testable full stack applications.
· Interface with internal clients/end users and other development teams.
· Participate in the full SDLC for software written with Java, SQL, RESTful web services, Apache Kafka, Apache Spark and Web UIs.
Requirements
· Bachelor degree in Computer Science, Computer Engineering or related technical discipline.
· 5 years of experience in object-oriented programming (e.g. Java).
· 5 years of experience in relation databases.
· 2 years of experience in data modelling and architecture design.
· Experience working in Agile environment able to de-block and coach junior developers.
· Experience of design complex business critical systems meeting highly available, scalable, fault tolerance, resiliency needs.
Nice to Have Qualifications
· Experience in payments or liquidity management.
· ES6/Typescript, a JS framework (e.g. React, Angular) and clear understanding of unit test frameworks (e.g. Jest, Sinon, Jasmine, etc).
· Experience in messaging and event streaming systems (e.g. Apache Kafka).
· Experience in Big Data and Machine Learning.
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