Informacje o stanowisku

What we expect

• Core Role (i.e., frontend, backend, data, cloud, etc.):
• Programmer Analyst with advanced knowledge of Java(Core, Batch, REST, Spring Boot) and OLAP/BI technologies (knowledge of Active Directory is desirable).
• The objective is the development of in-memory cubes using the Java framework.
• Knowledge of Unix shell and Python is required.
• Knowledge of Market Risk is desirable.
• Knowledge of Taylor calculations is also desirable.
• Agile methodology – Scrum A very good level of English is required, as daily work will be conducted in English. (Minimum B2 level)

Employment agency entry number 47

this job offer is intended for people over 18 years of age

What we offer

• work in an international environment
• attractive salary
• possibility of remote work

Your tasks

• In-Memory Engine Design: Building and optimizing high-performance OLAP cubes in a Java environment, enabling instant analysis of multidimensional data sets.
• Market Risk Model Implementation: Coding advanced financial algorithms, including portfolio sensitivity calculations based on the Taylor series (Delta, Gamma, Vega).
• Spring Boot & Batch Architecture Development: Creating scalable REST API microservices and efficient batch processing to power analytical systems.
• Process automation (Python/Unix): Creating Python and Shell scripts to automate data flow and task management in Unix.
• Security and access management: Integrating solutions with Active Directory to ensure precise control of access rights to sensitive financial data.
• Data analysis and troubleshooting: Diagnosing and solving complex performance issues at the intersection of the application, database, and system layers.
• Delivering solutions in the Scrum model: Active collaboration in an agile team, translating business requirements into technical user stories, and ensuring code cleanliness.

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