The Core Engineering, Risk, Metrics & Analytics Platform, Associate, Singapore

About the Role

TheMetrics & Analytics Platform Engineeringteam within The Core Engineering designs engineers and maintains the high-performance risk workflows and calculation engines that generate critical risk metrics for global risk management teams.

We are seeking a highly skilledAssociate Software Engineerto join our dynamic team in this role you will focus on hands-on development collaborating closely with team members and stakeholders to develop scale and maintain the systems driving our risk metrics and workflows.

Responsibilities

• Build Scalable Metrics Engines:Develop and optimize high-throughput reliable data and calculation processes that generate timely and accurate lending metrics to actively manage and mitigate the firms risk exposures.
• Build Complex Risk Workflows:Engineer highly performant resilient and scalable systems that empower risk managers to seamlessly evaluate market scenarios counterparties assign credit ratings and define risk appetites.
• Implement Next-Generation Architecture:Contribute to the design and execution of our next-generation architecture with an AI-driven cloud-first mindsetensuring maximum resiliency scalability and alignment with the firms long-term strategic growth.
• Hands-On Technical Implementation:Actively write clean production-grade code implement complex platform uplifts and resolve technical challenges using modern programming languages and frameworks.
• Adhere to Engineering Excellence:Follow modern SDLC practices write robust unit tests and participate in code reviews to maintain high code quality.
• Collaborate Cross-Functionally:Partner closely with quantitative engineers technical leaders across the broader engineering organization and product managers to implement and execute our next-generation architecture.

Minimum Qualifications

• Min. 4 yearsof hands-on software development experience building and scaling enterprise-level business-critical systems.
• Strong hands-on experience with backend technologies such as Java Spring Boot Python.
• Strong experience working with modern scalable SDLC practices (CI/CD automated testing code reviews).
• Hands-on experience with cloud technologies preferably AWS and building high-availability patterns.
• Experience implementing or integrating AI-enabled tools platforms or automated solutions.
• Exceptional analytical debugging and problem-solving skills.
• A strong appetite and openness to dive into proprietary systems understand their inner workings and strategically uplift them.
• Strong communication and interpersonal skills with the ability to collaborate effectively with technical and non-technical stakeholders.
• Bachelors degree in computer science Engineering or equivalent practical experience.

Preferred Qualifications

• Prior experience in the financial services industry with deep domain knowledge in Risk or Risk Engineering systems.