Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
 

As a Credit Forecast Transformation Associate in the team, you will lead the loss forecast transformation project, enabling the Loss Forecasting team to deliver robust and flawless end-to-end Net Charge-Offs (NCOs) forecast execution, from model input to output provision. You will establish best practices in both model and non-model dataset creation and consumption, and support the implementation of the '1-click execution' vision across the Forecasting team.

 

Job responsibilities

Lead working group discussions to streamline processes for both model and non-model components, as well as NCO dataset variables, creating comprehensive outputs for reporting and analytics Streamline both model and non-model components processes and NCOs dataset variables, creating comprehensive outputs that will be used most of the time Manage the projects and communicate solutions, roadmaps, and progress to multiple stakeholders (Forecasting team, Project Management, Finance, Product Owner, and Technology)   Assist the Forecasting team in automating non-model loss forecast components (e.g., QMs, management judgment, overlays) in Cloud (e.g., FRAME/Databricks) Collaborate with multiple stakeholders to enable AWS services and capabilities for fine-grain Loss forecast analytics by defining requirements for a semantic layer or reporting cube for easy retrieval of overlays and reporting processes;  Facilitate training and mentoring among peers on cloud capabilities and offerings, as well as analytical and reporting tools Ensure firmwide controls and governance are followed, escalate issues and risks appropriately, and collaborate with key stakeholders for resolution and recurrence prevention Foster an environment of continuous improvement 

 

Preferred qualifications, capabilities, and skills.

Strong problem-solving and interpersonal skills: a highly motivated, proactive, team player, with the ability to challenge the status quo and to manage multiple projects simultaneously, and ready to work in a fast-paced environment Proficient in data aggregation and analytical/ML tools (e.g., SQL, Python / PySpark dataframe) Experience with both structured and unstructured data, as well as semantic layers and cube dimensions Familiarity with cloud offerings and capabilities such as S3 Bucket, EMR, SageMaker, Databricks, and data catalog tools Knowledge of Agile/Productivity tools (e.g., JIRA, Confluence, GitHub, IAHUB) Proficiency in MS Office (Excel, Word, PowerPoint, Visio) for creating procedures, process maps, and data analysis Prior experience with forecast execution or analytics in finance, loss forecasting, risk management Comfortable to present findings and recommendations to senior management and other stakeholders.