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As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. We are seeking a Senior Data Scientist (GenAI) to lead LLM model development for AML/Risk use cases. This role will work closely with business stakeholders to translate AML and risk requirements into scalable GenAI/LLM-based solutions. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities
- Lead LLM model development for AML and Risk applications
- Design and implement prompting strategies and GenAI workflows for business use cases
- Partner with business stakeholders to gather requirements and convert them into production-ready code
- Drive end-to-end GenAI solution delivery in a regulated banking environment
- Provide technical leadership within a newly formed team
- 5+ yrs of Strong understanding of LLMs, GenAI, and prompt engineering
- Proven experience translating business requirements into LLM-driven solutions
- Mandatory domain experience in AML and/or Risk
- Experience in banking or financial services
- Ability to work independently in a fast-paced environment
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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