Applied Artificial Intelligence Machine Learning, Sr Associate

Job Description

Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate, where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high‑quality, cloud‑centric software delivery.

Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.

• Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision‑making processes.
• Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
• Apply large language models (LLMs), machine learning techniques, and statistical analysis to enhance informed decision‑making and improve workflow efficiency across investment functions, client services, and operational processes.
• Collect and curate datasets for model training and evaluation.
• Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
• Monitor and improve model performance through feedback and active learning.
• Collaborate with technology teams to deploy and scale the developed models in production.
• Deliver written, visual, and oral presentations of modeling results to business and technical stakeholders.
• Stay up to date with the latest research in LLM, ML and data science; identify and leverage emerging techniques to drive ongoing enhancement.

• Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
• Minimum of 4 years of experience in applying NLP, LLM and ML techniques to solve high‑impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.
• Advanced Python programming skills with experience writing production‑quality code.
• Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent, etc.
• Hands‑on experience with deep learning toolkits such as PyTorch, Transformers, Hugging Face.
• Strong knowledge of language models, prompt engineering, model fine tuning, and domain adaptation.
• Familiarity with the latest developments in deep learning frameworks.
• Ability to communicate complex concepts and results to both technical and business audiences.

• Prior experience developing solutions for the financial domain.
• Exposure to distributed model training and deployment.
• Familiarity with techniques for model explainability and self‑validation.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.