Requirements: English
Company: Quantitative Trading Firm
Region: Amsterdam , North Holland
Our Java Engineers continuously improve our proprietary trading platform by writing efficient and performant code, designing new and innovative solutions, and maintaining existing systems with a focus on low latency and stability. Markets are always changing, so we work in small business-aligned teams and follow agile practices to ensure that we can adapt as quickly as possible. We work side-by-side with Trading every day, which creates swift feedback loops and immediate insight into the value that each change provides. To foster collaboration and enable autonomy, we maintain shared libraries, encourage code re-use, and continuously evolve our views on application architecture.
What you will do
- Design, develop, and maintain complex trading systems using the latest technologies
- Collaborate with quantitative analysts, traders, and other stakeholders to understand business requirements and translate them into technical solutions
- Mentor and provide technical guidance to junior members of the engineering team
- Stay current with industry trends and emerging technologies to suggest and implement improvements in our technology stack
- Participate in code reviews, testing, deployment and adoption processes to ensure high-quality, robust software solutions
What you need to succeed
- BSc or MSc in Computing Science, Mathematics or other quantitative fields
- 5+ years working experience in professional software development preferably Java
- In-depth knowledge of algorithms and data structures
- Interest in achieving maximum performance from available hardware and software
- Ability to communicate with technical and business colleagues
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
- Strong sense of teamwork and ownership and willingness to learn new skills
- Experience in parallel and multithreaded programming
- Experience with Airflow, Kafka, and GCP (esp. GKE, Dataproc, and Big Query) highly desired
- Demonstrated ability to work with large datasets and familiarity with big data solutions