Join the forefront of innovation with the Controls Room Team, the central hub for control-related information across the firm! As part of our mission to enhance the firm's control environment, we provide rapid access to data, advanced analytics, and proactive issue identification. By developing systems that support key operational risk frameworks, we elevate monitoring and management capabilities. Our team standardizes and automates the recording and reporting of operational risks, delivering valuable business risk insights. Be a part of a dynamic team that collaborates across disciplines to swiftly address and remediate control issues, ensuring robust risk and control oversight.

As an AI/ML Model Developer in Control Management, you will data mine to identify insights and build models for production. You will collaborate with other machine learning model developers and work closely with stakeholders to deliver business value. Your role will be pivotal in advancing the analytics and AI/ML program.

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. 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

Master’s degree/Ph.D. in Data Science, Computer Science or Technology-related discipline Minimum of 5 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 work both individually and collaboratively in teams in order to achieve project goals.

Preferred qualifications, capabilities, and skills

Must be curious, hardworking, detail-oriented, and motivated by complex analytical problems. Able to be results and client-focused and follow the agile development paradigm. Able to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals. 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.

Applicants must be authorized to work for any employer in the U.S. We are not able to provide immigration sponsorship or take over sponsorship of an employment Visa at this time.

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