
Quantitative Modeling Lead
2 days ago
We are seeking a seasoned expert in quantitative modeling to drive rigorous validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem.
- Model Validation & Technical Leadership: Design and execute comprehensive validation plans to assess model performance, compliance, and risk.
- Innovation & Continuous Improvement: Develop and integrate AI-driven tools to enhance validation quality and speed.
- Strategic Transformation & Stakeholder Engagement: Embed modern AI and risk frameworks into business strategies whilst building strong relationships with model developers, business units, to ensure transparency and alignment.
- Team Leadership & Mentorship: Mentor and guide team members, fostering a collaborative and inclusive culture and champion modern analytics tooling and promote best practices in technical communication.
Key Responsibilities:
• Hands-on experience in ML, Generative AI, Statistical Modeling, and Risk Analytics.
• Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and PyTorch.
• Expertise in ML model development and evaluation, including GenAI techniques like RAG, prompt engineering, and orchestration tools (e.g., LangChain, LangGraph).
• Familiarity with version control (GitHub), CI/CD pipelines, and data engineering practices.
• Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.
What We Offer:
• Opportunity to work on high-impact projects that drive business growth and innovation.
• Collaborative and dynamic work environment with a talented team of professionals.
• Flexible work arrangements and opportunities for professional development.
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