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Job description
This is a rare opportunity to help shape the future of our Private Bank. With the sponsorship from the CEO and the heads of the business, our goal is to create an Agentic Private Bank—reimagining the entire process from start to finish, rethinking the operating model including organizational structures and developing AI agents equipped with the latest tools and technologies to fundamentally reshape how we perform this business.
Join our dynamic team of innovators and technologists as an Applied AI/ML Lead, where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will lead efforts to analyze existing processes and vast amounts of data to design autonomous AI agents. We seek leaders 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—one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.
Job Responsibilities
Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision‑making processes.
Oversee the design, deployment, and management of prompt‑based models on LLMs for various NLP tasks in the financial services domain.
Conduct and guide research on prompt engineering techniques to improve the performance of prompt‑based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
Collaborate with cross‑functional teams to identify requirements and develop solutions to meet business needs within the organization.
Communicate effectively with both technical and non‑technical stakeholders, including senior leadership.
Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
Develop and maintain tools and frameworks for prompt‑based model training, evaluation, and optimization.
Analyze and interpret data to evaluate model performance and identify areas of improvement.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years of applied experience.
PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science; or an MS with at least 7 years of industry or research experience in the field.
Hands‑on experience in building Agentic AI solutions.
Familiarity with LLM orchestration and agentic AI libraries.
Strong programming skills in Python with experience in PyTorch or TensorFlow.
Experience building data pipelines for both structured and unstructured data processing.
Experience in developing APIs and integrating NLP or LLM models into software applications.
Hands‑on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
Excellent problem‑solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner.
Basic knowledge of deployment processes, including experience with GIT and version control systems.
Hands‑on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments.
Preferred qualifications, capabilities, and skills
Familiarity with model fine‑tuning techniques.
Knowledge of financial products and services, including trading, investment, and risk management.
Benefits:
Competitive total rewards package based on role, experience, skill set, and location.
Commission‑based pay and/or discretionary incentive compensation may be received.
Health care coverage, on‑site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.
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. We do not discriminate on the basis of 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, mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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Worksite address
jersey city, NJ, 07390, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.