Software Engineer – CRG (Analyst Associate)

The Conflicts Resolution Group (CRG) is a control function with a primary objective to identify and mitigate the firms actual or perceived conflicts of interest and associated reputational risks which may result from the firm taking on a new role responsibility or position on a potential deal or with a potential counterparty. CRG Engineering plays a critical role in the development and support of software solutions aligned with the CRG objectives for improved risk management for the firm and ensuring a timely turnaround for our revenue divisions.

• Partner globally across CRG and other Engineering teams to design and deliver end-to-end AI-enabled platforms.
• Design develop test deploy and maintain services with a strong emphasis on AI/GenAI use cases.
• Build scalable data processing workflow and API solutions across large datasets real-time processing and event-driven architectures.
• Collaborate in an agile environment with product legal data science and design partners to prototype ideas and share best practices.
• Demonstrate willingness to learn support and modernize legacy systems that underpin critical conflicts resolution business processes.
• Apply modern AI techniquesincluding LLMs RAG and agent-based frameworksto solve business and risk-management problems.

• Strong programming experience in Java and Python.
• Hands-on experience applying LLMs prompt engineering RAG and AI agents to real-world problems.
• Strong analytical and problem-solving skills with the ability to translate complex business and regulatory requirements into technical solutions.
• Experience with data stores and search technologies (e.g. SQL MongoDB Elastic) and familiarity with distributed or real-time systems (e.g. Kafka).
• Experience building AI agents including tool use planning and orchestration.
• Experience building and deploying cloud-native services on an AWS stack with strong grounding in automated testing SDLC practices and CI/CD pipelines.
• Excellent communication and collaboration skills across technical and non-technical stakeholders.
• Bachelors or Masters degree in Computer Science Engineering or a related quantitative field.
• 03 years of relevant professional software engineering experience depending on level.
• Experience in some ofthe following is desired and can set you apart from other candidates:
• Experience with agent and RAG frameworks such as LangChain LangGraph and/or ADK.
• Frontend experience with React/Angular.
• Familiarity with platforms and tooling such as GitLab and Kubernetes.
• Knowledge of financial services or control functions such as legal compliance or risk management.