About the Role
The role involves designing and deploying AI-driven tools and models that support investment banking functions such as deal sourcing, valuation, client reporting, and market analysis. The candidate will work closely with finance and technology teams to integrate AI into core workflows.
Responsibilities
- Develop machine learning models to identify potential mergers and acquisitions opportunities
- Create natural language processing systems for analyzing financial documents and news
- Build predictive analytics tools for market trend forecasting
- Automate financial modeling and valuation processes using AI techniques
- Collaborate with quantitative analysts to refine algorithmic strategies
- Design AI-powered client segmentation and targeting frameworks
- Improve data extraction accuracy from unstructured financial reports
- Optimize risk assessment models with advanced data inputs
- Support due diligence automation through intelligent document review
- Enhance real-time pricing and advisory systems with AI feedback loops
- Integrate large language models into client communication workflows
- Maintain model performance monitoring and validation protocols
- Translate business requirements into technical AI specifications
- Ensure compliance with financial data privacy and security standards
- Deliver technical documentation for AI systems and processes
- Participate in cross-functional meetings with finance and engineering teams
- Evaluate third-party AI tools for potential integration
- Conduct A/B testing on model-driven recommendations
- Refine data pipelines to support AI training and inference
- Stay current with advancements in financial AI research
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with office and remote options
Team
Collaborative team of AI engineers and financial domain experts
Tech Stack
Python, PyTorch, TensorFlow, FastAPI, PostgreSQL, AWS SageMaker, Docker, Kubernetes, LangChain, Hugging Face Transformers
Application Process
- Submit resume and cover letter
- Complete a technical screening on AI in finance
- Participate in a case study interview
- Final interview with technical and product leads
