Lead the design, development, and deployment of GenAI and NLP models for various consumer-facing applications
Translate business problems into technical solutions, leveraging advanced GenAI/NLP/ML methodologies
Collaborate with cross-functional teams to integrate AI solutions into business processes, ensuring scalability and robustness
Provide mentorship and technical guidance to junior data scientists
Engage with business stakeholders to communicate insights, model outcomes, and the strategic value of AI initiatives
Ensure compliance with regulatory requirements and internal risk management policies

Requirements

5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Demonstrated expertise in Generative AI, including large language models, Generative AI frameworks, and advanced NLP techniques which includes leading GenAI projects from conception to production
Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP) or Vertex AI
Strong background in GenAi/NLP, machine learning, deep learning, and statistical analysis
Experience in the financial services industry, particularly within consumer banking, lending, wealth and asset management
Familiarity with regulatory and compliance considerations in AI model deployment
Strong full stack data science skills
A track record of published research or patents in AI/ML

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Generative AINLPmachine learningdeep learningstatistical analysisPythonPySparkTensorFlowPyTorchlarge language models

Soft Skills

mentorshiptechnical guidancecollaborationcommunicationproblem-solving