Server-Side Engineer, Trading Risk
9 hours ago
Our client is a global investment management firm with a strong presence across major financial markets. Known for its data-driven strategies and advanced technology platforms, the firm places significant emphasis on building reliable, scalable, and high-performance systems to support its trading and risk operations. With teams spanning multiple regions, this is an opportunity to contribute to critical platforms that safeguard trading activity and regulatory compliance in a fast-paced environment.
Role Overview
This role is responsible for latency-sensitive, distributed systems designed to monitor high-volume trading activity, aggregate real-time risk metrics, and enforce pre-trade controls across global markets.
Key Responsibilities
- Partner with users and stakeholders to design and implement pre-trade risk controls that protect the firm and align with global regulatory standards.
- Develop high-throughput, low-latency server-side software capable of processing millions of daily orders and preventing control violations in real time.
- Take ownership of the full engineering lifecycle: design, implementation, test automation, deployment, and production support (escalation-level only).
- Contribute to the expansion of control frameworks across new markets and asset classes, particularly with a focus on Asia.
- Maintain strong collaboration with global and regional teams to ensure system reliability and compliance.
- 7+ years of Java server-side development experience on Linux environments.
- Proven expertise in designing and coding low-latency, high-throughput distributed systems.
- Experience building or supporting front-office trading or risk management systems.
- Strong communication skills with experience engaging business stakeholders and navigating complex interpersonal situations.
- Good market knowledge across equities, fixed income, or other asset classes.
- Familiarity with development and CI/CD tools such as Jira, Git, Jenkins, Gradle.
- Experience with real-time data platforms (e.g., KDB) and messaging technologies (e.g., Solace) is a plus.
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