Data Scientist II – Client Protection

Role Overview

• Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights
• Applies agile practices for project management, solution development, deployment, and maintenance
• Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production
• Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
• Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
• Supports the identification of potential issues and development of controls
• Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics
• Develops advanced technical documentation for an array of internally
• and vendor-developed models ranging from regression to sophisticated techniques including XGB and neural networks
• Works closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate
• Partners with technology and model users to schedule deployments and planning ahead for future model installations
• Works with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage
• Produces analytics to ensure early model results look consistent with expectations
• Conducts regular model monitoring and sharing performance results and analytical insights with model stakeholders and users
• Supports Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated
• Tracks model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates
• Drives model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis

Requirements

• 4+ years experience in model validation or development
• Must be proficient with SQL and SAS
• Excellent technical writing skills
• Critical problem solving abilities including selection of data and deployment of solutions
• Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team
• Excellent communication and influencing skills
• Thrives in fast-paced and highly dynamic environment
• Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solutions.

Tech Stack

• SQL

Benefits

• This role is currently benefits eligible.
• We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.