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Strong employer brand and metro hiring balanced by senior, specialized low-latency finance requirements.
Requires domain-specific credit/risk and low-latency systems experience, limiting easy cross-industry transfers.
Explicit 12+ years requirement plus mandatory Python/SQL, real-time systems, and enterprise controls increases filter strictness.
Design and deliver secure, low-latency, scalable real-time risk and PnL microservices and pipelines for credit products including loans, derivatives, and exotics.
Drive engineering standards including AI-assisted development practices, code quality, testing, and operational readiness within an agile team environment.
Lead technical design, implementation, and production excellence including incident triage, root cause analysis, and reliability improvements.
12+ years of applied software engineering experience with formal training or certification.
Extensive hands-on experience delivering Python services in production including design, testing, troubleshooting, and support.
Strong SQL skills with experience in relational database schema design and performant query writing.
Experience building real-time distributed systems with messaging, streaming, low-latency APIs, and performance tuning.
Senior engineer able to lead architecture discussions and set technical direction leveraging strong fundamentals in data structures, algorithms, and concurrency.
Experienced in operating within large regulated enterprise environments with governance, controls, auditability, and secure coding practices.
Proficient in implementing and coaching adoption of enterprise-approved AI-assisted engineering tools focused on code quality, security, and compliance.