Job Description
You enjoy thinking outside the box and exceeding expectations. You will work in partnership with model users (e.g., Loss Forecasting, Finance, Controller), Finance Automation & Execution (FAE), and Technology to enhance the Credit Loss data consumption in the Cloud.
Job summary:
As a Data Engineer and Visualization Senior Associate within the Forecasting team, you will spearhead projects to guarantee uninterrupted access to both historical and forecast data, providing valuable insights in the process. Your role will involve setting up best practices for data consumption and Business Intelligence tool solutions for reporting and analytics. You will be tasked with overcoming challenges, facilitating discussions to reach the desired state, and promoting the '1-click execution' vision.
Job responsibilities:
- Develop a unified reporting and analytics suite/platform for all teams within Consumer and Community Banking (CCB) Loss Forecasting.
- Collaborate with stakeholders to build requirements for a semantic layer and cube to ensure easy data retrieval for reporting and analytics purposes; enable AWS services and capabilities for fine-grain forecast analytics.
- Support the automation of non-model components (e.g., Qualitative Models/QMs, management judgment/overlays, etc.) in Frame/Databricks.
- Effectively communicate solutions, roadmaps, and progress to key stakeholders, including the Forecasting team, Project Management, Finance, 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 prevention.
- Foster an environment of continuous improvement.
Required 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, loss forecasting, risk management, or a related capacity.
- Proficient in data aggregation and analytical/ML tools (e.g., SQL, Python, or PySpark data frame).
- Experience with both structured and unstructured data, as well as semantic layers and cube dimensions.
- Familiarity with cloud offerings and capabilities such as Snowflake, S3 Bucket, EMR, SageMaker, Databricks, QuickSight, or ThoughtSpot, 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.
All application requirements (including updated resume - please include specifics of your career) should be posted, submitted and completed in the Oracle tool.
About Us
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.
About the Team
Our Consumer & Community Banking 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.
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JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
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Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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