Data Processing Engineer Slang FinTech
4 tygodni temu
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 to implement a new strategic real-time liquidity platform.
You will be involved in Front-to-back liquidity modeling on an event bus that provides a real-time operational liquidity platform.
In this role, you will be provided unique insight into the firm's business activities and asset strategy.
You will be responsible for defining, and developing software to analyze data, building metric calculators, and automated tools to help businesses 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 developers a window into all aspects of CT planning and execution while working on cutting-edge industrial technologies.
Corporate Treasury Organization Description:
The corporate Treasury Engineering team is looking for experienced software engineers with strong mathematical skills to work closely with Corporate Treasury business partners and help improve liquidity projections and optimizations, financial resource allocation, and management, cash and collateral management, and funds transfer pricing and execution strategy.
Corporate Treasury lies at our heart, 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 being part of the engineering team will expose you to everything that's important and happening to the firm. The scale of the liquidity optimization and execution problem keeps us interested every day, and we hope to share our enthusiasm and challenge with you.
Skills:
The project is in Slang.
- Any OO language
- Experience in building efficient high-quality, scalable ETL data pipelines and data-oriented products
- Understanding parallel computing and parallel processing
- Experience with SQL and optimizing queries
- Strong analytical and problem-solving skills
- Work very closely with businesses to create real-time impact and deliver products with the most commercial value
A hybrid model of work is required, 3 days/week from the city center of Warsaw.
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