Associate

About the Role

The Core Engineering team builds and operates platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm, including Risk, Controllers, Compliance, Corporate Treasury, and Human Capital Management. A centralized engineering structure promotes a common platform model and operating framework, leveraging cloud, AI, and machine learning for innovation and efficiency.

Key Responsibilities

• Partner globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions.
• Leverage various technologies including Java, JavaScript, TypeScript, React, APIs, GraphQL, Elastic Search, Kafka, Kubernetes.
• Innovate and incubate new ideas.
• Work on a broad range of problems, including large data sets, real-time processing, messaging, workflow, and UI/UX.
• Be involved in the full software development life cycle: defining, designing, implementing, testing, deploying, and maintaining software.

AI‑Assisted Engineering & Productivity

• Effectively use AI-assisted software development tools (e.g., GitHub Copilot, Devin, Claude Code, or equivalent) to improve developer productivity and reduce development cycle time.
• Apply AI tools to accelerate code generation, refactoring, test creation, debugging, root-cause analysis, and performance optimization.
• Use AI-assisted reasoning to understand complex codebases, rapidly prototype solutions, and improve code quality while maintaining strong engineering standards.
• Partner with peers and reviewers to validate, harden, and productionize AI-generated outputs, ensuring correctness, security, maintainability, and regulatory compliance.
• Identify opportunities where AI tooling can reduce manual effort, minimize rework, and support faster, higher-quality delivery to production.

Requirements & Tech Stack

• Java development expertise.
• Experience in automated testing and SDLC concepts.
• Ability to clearly express ideas and arguments in meetings and on paper.

Desired Experience

• Demonstrated experience or strong interest in leveraging AI-assisted developer tools to enhance engineering productivity and accelerate software delivery.
• Ability to critically evaluate AI-generated outputs and enhance them to production-grade quality.
• Hands-on proficiency with AI coding assistants such as GitHub Copilot, Claude Code, and Devin to expedite code authoring, refactoring, and debugging.
• Effective utilization of AI pair-programming tools.
• Application of established prompt engineering best practices.
• Practical integration of autonomous AI agents (e.g., Devin).
• Adoption of AI-driven code review tools.
• Experience with:
• UI/UX development
• API design
• message buses or real-time processing
• relational databases
• Knowledge of the financial industry and compliance or risk functions.
• Influencing and collaborating with stakeholders.

Qualifications

• A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study.
• 2.5+ years professional software development experience.