Top AI & Machine Learning Jobs

Join the Credit Portfolio Group as a Quantitative Research Associate to build and deploy AI/LLM and ML-driven models, analytics, and automation for portfolio management, trading, and risk. Responsibilities include designing generative AI agents, implementing portfolio optimization and market-making enhancements, automating reporting, collaborating on model approvals, and integrating tools into risk and P&L systems.

Lead design, build, and scaling of production-grade NLP and LLM-based solutions across the model lifecycle. Partner with product, engineering, operations, and risk to translate operational needs into intelligent search, summarization, classification, and recommendation systems. Ensure model reliability, security, scalability, data quality, monitoring, and continuous iteration to improve agent efficiency and customer outcomes.

Develop, deploy, and maintain scalable AI/ML solutions for payments including fraud detection and customer experience. Build large-scale data pipelines and feature stores on AWS, fine-tune LLMs/transformers, run experiments, monitor model performance, ensure regulatory compliance, and translate model outcomes into business metrics while working cross-functionally.

Lead design and delivery of agentic and generative AI systems for banking: translate business problems into research and engineering plans, build multi-agent solutions, design reusable services and evaluation practices, mentor researchers/engineers, and partner to scale secure, reliable production deployments.

Lead design and delivery of production-grade AI/ML and agentic solutions for the LLM Suite platform. Own architecture, implementation, and operational stability using public cloud services and agentic frameworks. Build GenAI services, integrate LLMs, ensure secure high-quality code, and improve platform scalability and reliability through collaboration and communities of practice.

Lead AI product strategy and execution for agentic AI pipelines automating bank operations. Define metrics, build demos/prototypes, write PRDs and user stories, and coordinate cross-functional teams to deliver production AI products that meet business goals.

Lead technical strategy and delivery of a lending platform by embedding AI-native capabilities (agentic workflows, LLM features). Drive multi-team implementations, manage stakeholders, set AI-assisted engineering governance, establish validation standards, and ensure secure, scalable, high-performance cloud-based systems.

Lead and guide agile teams to design, build, and deliver secure, scalable AI-enabled software. Develop and review production code, drive product and technical decisions, champion enterprise AI-assisted development practices, implement RAG/LLM architectures and vector stores, integrate cloud services and CI/CD, and establish responsible AI guardrails and validation standards.

Lead end-to-end delivery of production AI/ML capabilities for payments (fraud, anomaly detection, automation, routing). Design and deploy neural/Transformer models, optimize for latency/scale/cost, define evaluation and monitoring, ensure model governance and audit readiness, collaborate with Product/Engineering/Risk, and mentor teams while communicating trade-offs to senior stakeholders.

Senior analytics leader partnering with business and finance to deliver trusted metrics, improve data quality, govern portfolio metrics, and generate decision-ready insights. Leads end-to-end analytics, drives automation and self-service, validates AI use, and communicates executive-level findings to manage lending performance, risk, and operational efficiency.