Senior Analyst - Financial Services Organization – AI and Data – Service Delivery Center
You’ll architect and deploy production-grade AI agents and multi-agent systems that transform financial services. Working with cutting-edge LLMs and agentic frameworks, you’ll build autonomous systems that process millions of transactions, make intelligent decisions, and continuously learn from real-world financial data. This is your chance to shape how AI reshapes global finance.
Build Autonomous Financial AI Systems
- Design and implement multi-agent architectures using LangChain, AutoGen, or CrewAI for complex financial workflows
- Deploy production-ready LLMs fine-tuned for financial domain expertise (loan underwriting, risk assessment, regulatory compliance)
- Create RAG (Retrieval-Augmented Generation) systems that connect AI agents to enterprise knowledge bases and real-time market data
- Implement agentic reasoning systems capable of autonomous decision-making within regulatory boundaries
Scale AI Solutions for Enterprise Impact
- Deploy AI agents serving millions of customers with sub-second latency requirements
- Build robust MLOps pipelines for continuous model improvement and A/B testing
- Implement comprehensive monitoring and observability for autonomous systems
- Optimize inference costs while maintaining performance SLAs
Drive Innovation in Financial AI
- Prototype breakthrough applications: AI-powered trading assistants, autonomous compliance monitors, intelligent fraud detection agents
- Collaborate with financial domain experts to translate complex regulations into AI agent behaviors
- Contribute to EY’s AI research initiatives and patent applications
- Present solutions to C-suite executives at major financial institutions
Core Skills (Must-Have)
- 3-5 years of Python programming with production deployment experience
- Hands-on experience with LLMs: GPT-4, Claude, Llama, or similar foundation models
- Agentic AI frameworks: LangChain, AutoGen, CrewAI, or similar multi-agent orchestration tools
- Vector databases: Pinecone, Weaviate, or Chroma for semantic search at scale
- Cloud platforms: AWS SageMaker, Azure OpenAI Service, or Google Vertex AI
- MLOps practices: Model versioning, A/B testing, drift detection, and continuous deployment
Preferred Skills (Nice-to-Have)
- Experience with financial services applications (trading, risk, compliance, or banking)
- Knowledge of prompt engineering and in-context learning optimization
- Familiarity with model fine-tuning techniques (LoRA, QLoRA, PEFT)
- Understanding of AI safety practices and responsible AI frameworks
- Experience with real-time streaming architectures (Kafka, Flink)
- Contributions to open-source AI projects
- Good written and verbal communication skills
- A willingness and ability to travel at 0%-25%
- Valid driver’s license in the US
- Valid passport
Ideally, you’ll also have
- Certification in any database management system, reporting or data visualization, or programming/statistical language
- Working knowledge or certifications in cloud technologies such as Snowflake, Databricks, AWS, or Azure
- Experience with generative AI models and techniques, including GANs and Transformers
- Understanding of the ethical implications of generative AI and commitment to responsible AI practices
What we look for
We’re interested in professionals that are passionate about technology, who already have an understanding of data and are comfortable analyzing or manipulating it while generating reports for clients. You’ll also need to be able to clearly articulate both problems and proposed solutions, and have the willingness to learn and quickly adapt to changing requirements. On top of this, we’re looking for team players and hard workers who are not afraid to take initiative to master their craft and produce high-quality work. If you have a proactive approach and want to be part of a group that continues to grow significantly, this role is for you.
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:
- Opportunities to develop new skills and progress your career
- Support and coaching from some of the most engaging and knowledgeable colleagues
- A collaborative environment where everyone works together to create a better working world
- Excellent training and development prospects
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $65,500 to $134,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $78,600 to $152,100. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.