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The Core Engineering-Software Engineering - Analyst/Associate - Metrics & Analytics Platforms - Counterparty Credit Risk Eng
mid · Technology / Software Development
The Core Engineering builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for the firm’s Risk, Controllers, Compliance, Corporate Treasury, Human Capital Management functions (The Core). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency.
The Metrics & Analytics Platform Engineering team 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 looking for passionate engineers with strong programming skills and applied AI experience, who are willing to work with challenging use cases, in a fast-paced environment. We need interdisciplinary engineers who like exploring brand new fields and using various technologies.
Responsibilities
- Build Scalable Metrics Engines: Develop and optimize high-throughput, reliable data and calculation processes that generate timely and accurate metrics to actively manage and mitigate the firm’s risk exposures.
- Implement Next-Generation Architecture: Contribute to the design and execution of our next-generation architecture with an AI-driven, cloud-first mindset—ensuring maximum resiliency, scalability, and alignment with the firm’s long-term strategic growth.
- 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.
- 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
- 3-5 years of experience in software development, including a clear understanding of software design and core programming concepts.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or other related STEM disciplines.
- Programming experience with at least one imperative language (e.g. Java, C/C++, Python, JavaScript).
- Exceptional analytical, debugging, and problem-solving skills.
Preferred Qualifications
- Hands-on experience with cloud technologies, preferably AWS, and building high-availability patterns.
- Experience implementing or integrating AI-enabled tools, platforms, or automated solutions.
- Prior experience in the financial services industry, with deep domain knowledge in Risk, or Risk Engineering systems.
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