Loss Forecasting Transformation Associate

**Organization Description**

Our Consumer & Community Banking (CCB) division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.

You will work in partnership with model users (e.g., Loss Forecasting, Finance, Controller), Data Architecture and Technology, and Finance Automation & Execution (FAE) to enhance the end-to-end loss forecasting process across various products (Home Lending, Business Banking, Auto).

As a Credit Forecast Transformation Associate, you will lead the forecast transformation project, enabling the Credit Loss Forecasting team to deliver robust and flawless end-to-end forecast execution, from model input to output provision. You will establish best practices in data consumption and tools for reporting and analytics, resolve obstacles and drive discussions to achieve the target state, and support the implementation of the '1-click execution' vision across the Forecasting team.

**Job responsibilities**
- Streamline both model and non-model components processes and create comprehensive datasets (outputs) that will be used most of the time
- Assist the Forecasting team in automating non-model forecast (delinquency, QMs, management judgment/overlays) in Frame/Databricks
- Collaborate with multiple stakeholders to define requirements for a semantic layer or reporting cube for easy retrieval of overlays and reporting processes; enable AWS services and capabilities for fine-grain forecast analytics
- Manage the delivery of multiple automation projects and communicate solutions, roadmaps, and progress to multiple stakeholders (Forecasting team, Project Management, Finance, Product Owner, and Technology)
- 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 preventionFoster an environment of continuous improvement

**Preferred qualifications, capabilities, and skills.**
- Strong problem-solving and interpersonal skills: a highly motivated, proactive, team player, confident in challenging the status quo, able to manage multiple projects simultaneously, and ready to work in a fast-paced environment
- Prior experience with forecast execution or analytics in finance, risk management, or a related capacity
- Proficient in data aggregation and analytical/ML tools (e.g., SQL, Python, PySpark)
- 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, snowflake 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
- Ability to present findings and recommendations to senior management and other stakeholders for various consumer products (e.g Credit Card, Automotive, Lease, Business Banking)