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Senior Research Scientist in AI & Financial Data Science (Hybrid)
Relocation
AI Summary
Lead cutting-edge AI research and enterprise solutions for financial institutions, blending 60% client-facing innovation with 40% independent research. Design and deploy advanced ML, LLMs, and optimization models while publishing peer-reviewed work. Requires a PhD, deep ML expertise, and a track record of translating research into production systems.
Key Highlights
Hybrid role: 60% client-facing AI deployment, 40% independent research with conference/paper support
Work with real-world financial datasets from major institutions to solve complex AI challenges
Unique opportunity to publish research while seeing direct commercial impact in AI products
Key Responsibilities
Lead advanced AI and machine learning initiatives for enterprise financial clients
Design and validate algorithms using LLMs, Generative AI, and Optimization for production deployment
Develop Proofs of Concept (PoCs) and production-ready AI solutions for financial institutions
Technical Skills Required
Benefits & Perks
Annual salary up to 25,000,000
Hybrid work and full schedule flexibility
Comprehensive health and welfare benefits
Nice to Have
Publications at top-tier conferences (NeurIPS, ICML, ICLR, ACL, etc.)
Experience with financial datasets
Client-facing or technical consulting experience
Job Description
An innovative AI and Data Consulting firm specializing in digital transformation for the financial industry is looking for a Senior Research Scientist to bridge cutting-edge research with real-world AI deployment. Unlike traditional research roles, this position allows you to spend approximately 60% of your time solving challenging AI problems for major financial institutions and 40% conducting independent research, with company support for publishing papers and presenting at leading international conferences.
If you're passionate about advancing AI while seeing your research deployed in production, this is a unique opportunity.
What You'll Do
- Lead advanced AI and machine learning initiatives for enterprise financial clients
- Design and validate algorithms using LLMs, Generative AI, Machine Learning, and Optimization
- Solve complex technical challenges through research-driven approaches
- Develop Proofs of Concept (PoCs) and production-ready AI solutions
- Conduct independent research aligned with your interests
- Publish peer-reviewed papers and present research at domestic and international conferences
- Translate research outcomes into commercial AI products and client solutions
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Requirements
- PhD or equivalent research achievements
- Experience publishing peer-reviewed research papers
- Deep expertise in Machine Learning, Optimization, or Statistical Modeling
- Strong mathematical and analytical background
- Publications at top-tier conferences (NeurIPS, ICML, ICLR, ACL, etc.)
- Research experience in LLMs or Generative AI
- Experience with financial datasets
- Experience deploying research into production systems
- Client-facing or technical consulting experience
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- Annual salary up to 25M
- Work with real-world datasets from major financial institutions
- Freedom to pursue research topics in AI, LLMs, optimization, and financial AI
- Hybrid work and full flex schedule
- Comprehensive health and welfare benefits
- Company support for academic publications and conference presentations
- Retirement savings program and relocation support
- Stable business backed by an established AI consulting practice
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