Associate

About The Core Engineering

The Core Engineering is a global team of over 300 engineers and scientists focused on the most complex, mission-critical problems. The team builds and operates platforms and applications to prevent, detect, and mitigate regulatory and reputational risk across the firm. They leverage modern frameworks for responsive front-end and Big Data applications, with access to cutting-edge technology and massive amounts of structured and unstructured data.

Your Impact & How You Will Fulfill Your Potential

As a member of the team, you will:

• Partner globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions.
• Learn from experts.
• Leverage various technologies including Java, JavaScript, TypeScript, React, APIs, GraphQL, Elastic Search, Kafka, and Kubernetes.
• Innovate and incubate new ideas.
• Work on a broad range of problems, often involving large datasets, including 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

In addition, you will:

• 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 and refactoring.
• Test creation and coverage improvement.
• 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

• Expertise in Java development.
• Experience in automated testing and SDLC concepts.
• The ability to clearly express ideas and arguments in meetings and on paper.
• AI-assisted developer tools (e.g., GitHub Copilot, Claude Code, Devin).
• Prompt engineering best practices.
• Autonomous AI agents (e.g., Devin).
• AI-driven code review tools.
• Experience with:
• UI/UX development.
• API design.
• Message buses or real-time processing.
• Relational databases.

Qualifications

• A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study.
• 1+ years professional software development experience.
• Demonstrated experience or a 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.
• Proven ability to critically evaluate AI-generated outputs and refine them to meet production-grade standards of quality, reliability, and maintainability.
• Hands-on proficiency with AI coding assistants such as GitHub Copilot, Claude Code, and Devin to expedite code authoring, refactoring, and debugging across all phases of the Software Development Life Cycle (SDLC).
• Effective utilization of AI pair-programming tools to generate boilerplate code, unit tests, and technical documentation, enabling greater focus on architectural design and complex problem-solving.
• Practical integration of autonomous AI agents (e.g., Devin) for routine engineering tasks, including bug triage, dependency upgrades, and minor feature implementations.
• Adoption of AI-driven code review tools to proactively identify defects, security vulnerabilities, and performance bottlenecks.
• Knowledge of the financial industry and compliance or risk functions.
• Influencing and collaborating with stakeholders.