In the aftermath of the 2008 financial crisis, the importance of liquidity management in financial institutions became more evident than ever. Many banks struggled or failed due to liquidity issues, highlighting the need for robust systems to monitor and manage liquidity risks. To address this critical need, we are building a state-of-the-art Liquidity Risk and Collateral Management Platform for one of the world’s largest investment banks.
This platform is designed to enhance efficiency, scalability, and operational resilience by reducing manual interventions in margin call processing. The platform integrates advanced front-end tools with powerful back-end engines, offering a comprehensive solution for managing liquidity risks and collateral efficiently.
Key Responsibilities
- Develop new functionalities for the Liquidity Risk Platform, collaborating closely with global teams.
- Work on a range of technologies, focusing on Big Data processing and analysis.
- Contribute to the architecture and design of a scalable, high-performance platform.
- Ensure the platform meets the highest standards of efficiency, reliability, and security.
Mandatory Skills
- Big Data Expertise (6+ years). Proven experience in handling large-scale data processing and analysis.
- Programming Skills. Proficiency in Java/Python, J2EE, Spark, and Hive.
- Database Management. Strong skills in SQL databases and UNIX Shell scripting.
- Big Data Tools. Hands-on experience with Apache Hadoop, Spark, Hive, Impala, Yarn, Talend, and Hue.
- Reporting and Analysis. Expertise in Big Data reporting, querying, and analysis.
Nice-to-Have Skills
- Business Logic Implementation. Experience with Spark Calculators based on business rules.
- Performance Tuning. Basic knowledge of performance tuning and troubleshooting.
- Software Development Life Cycle (SDLC). Experience across all stages of the SDLC.
- Deployment Infrastructures. Familiarity with complex deployment infrastructures.
- Software Architecture and Design. Understanding of software architecture, design patterns, and testing.
- Data Flow Automation. Knowledge of automation tools like Apache NiFi and Airflow.
- Design Approaches. Understanding the difference between Object-Oriented Programming (OOP) and Functional design.
- Event-Driven Architecture. Insight into event-driven architecture.
- Development Tools. Experience with Spring, Maven, GIT, and uDeploy.
Join Our Team
If you are passionate about building robust financial platforms and have a strong background in Big Data, we invite you to be a part of this challenging and rewarding project. Contribute to a platform that plays a crucial role in the global financial ecosystem, ensuring that liquidity risks are effectively managed and operational risks are minimized.