Central Control Management solidifies an effective firmwide control framework within and across all lines of business by identifying and remediating control issues with a sense of urgency, irrespective of the functional area. The Central Control Management team works collaboratively with other control disciplines and oversees existing control functions as well as the development of new control functions and protocols. This process enables the firm to engage the appropriate teams in a timely manner and provides the ability to quickly remediate critical control issues across all the impacted areas of the firm.

Job Summary

As an Associate, AI/ML model developer within the Control Management, you will be responsible to manage the analytics and AI/ML program that will data mine to identify insights, build models to production, work with other machine learning model developers, and work with stakeholders to deliver business value.

Job responsibilities

Research data to discover insights and develop innovative ML-based solutions to some of Control Management’s hardest problems. Understand the AI/ML program journey to formulate relevant high impact business questions that can be answered through data analysis. Develop strong data science capabilities that can be scaled across various business use cases. Collaborate with Tech partners to design and deploy Machine Learning services that can be integrated with strategic systems. Leverage internal reusable components and cutting-edge external tools strategically to advance capability development. Effectively document and convey approaches and results to non-technical audiences, such as business stakeholders and executive leadership. Research and implement state-of-the-art methods and models.

Required qualifications, capabilities, and skills.

Bachelor’s or Master’s degree/Ph.D. in Data Science, Computer Science or Technology-related discipline Minimum of 1 - 3 years of AI/ML model development experience Hands-on experience in building and managing large-scale Data Science and Machine Learning models, including their monitoring and upkeep in production. Hands-on experience with Deep Neural Network packages (examples: PyTorch, Keras/TensorFlow, HuggingFace packages like transformers, datasets etc). Strong understanding of various machine learning concepts, including Natural Language Processing (NLP) and Large Language Models (LLMs) Strong ability to develop and debug in Python with extensive experience with machine learning APIs and computational packages (examples: Scikit-Learn, NumPy, SciPy, Pandas, XGBoost etc) Experience in exploring and analyzing data using SQL, including writing queries and extracting insights from large datasets. Experience in developing solution using cloud technologies such as AWS Sagemaker, Azure etc. Able to be results and client-focused and follow the agile development paradigm. Able to independently research and propose alternatives with some guidance as to problem relevance. Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders.