Credit Forecast Transformation Associate

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 

Required 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.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.