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Tier-1 brand, metro locations, and broad required skills create very high applicant competition.
Role requires finance-specific low-latency risk systems experience, limiting cross-industry transferability.
Explicit 12+ years and mandatory Python, low-latency, and domain experience make shortlisting very strict.
Design and deliver low-latency, high-throughput real-time Risk and PnL services for credit products supporting front-office workflows with clear SLAs and operational readiness.
Lead technical design, implementation, and production excellence across distributed microservices and event-driven pipelines processing market data, trades, and risk measures.
Drive engineering standards adoption including AI-assisted development tools, secure coding, testing strategy, incident management, and mentor engineers within a large enterprise environment.
12+ years of applied software engineering experience with formal training or certification.
Extensive hands-on experience delivering Python services in production including design, development, testing, troubleshooting, and operational support.
Strong SQL and relational database skills including schema design and performant query writing.
Experience building secure, stable, maintainable systems in large enterprise settings with knowledge of SDLC governance and controls.
Senior engineer comfortable leading design discussions and architecture documentation for complex real-time credit risk systems.
Experienced in leveraging AI-assisted software development tools responsibly within engineering workflows for code quality and delivery improvements.
Able to drive production excellence including incident triage, root cause analysis, and measurable reliability improvements in event-driven distributed systems.