Challenging work – what will you do?
- Design and implement new regulatory reporting software supporting all global regulatory initiatives. The regulatory reports are crucial to the firm fulfilling the requirement of external regulators
- Use Java 17/Spring/Kafka/Singlestore technology stack to develop a horizontally scalable microservice system
- Solve challenging big data problems. Ensure data correctness while processing millions of rows a day
- Use Scala/Spark/Hadoop technology stack to develop effective data processing services within the data lake
- Build relationships with end users to understand the business and suggest improvements to existing tools and processes
- Gain a comprehensive understanding of financial instruments across multiple asset classes ranging from high-volume FX trades to complex commodities, credit, equities and interest rate derivatives
Skills
We are looking for candidates who have:
- Excellent communication, analytical, and problem-solving skills to enable cooperation with users globally
- Strong organizational skills, attention to detail, mindset of ownership, and excellent follow-through
- Strong programming skills in Java, at least 5 years of coding experience
- Good understanding of microservices and demonstrated ability to build horizontally scalable systems
- Experience with SQL, relational databases, and query optimization
- Experience in supporting production environment, handling production issues, their resolution & follow-ups
- Experience in test-driven development
- Fast learner who can pick up existing applications (functionally & technically)
- Good understanding of data structures, algorithms, and designing for performance and resiliency
- Focus on software quality – the ability to write clean code and encourage others to do so
- Openness for acquiring new skills and learning new technologies
Additionally, welcome:
- Experience or a strong interest in investment banking or financial products is a plus
- Experience being a technical owner, performing code reviews
- Experience with near real-time transactional systems like Kafka
- Experience with Single store
- Experience with Scala
- Experience with big data concepts (we use Hadoop for Data Lake)