JPMorgan Data Analytics - Automation Associate 

India, Karnataka, Bengaluru 

784591215

Job responsibilities

• Streamline both model and non-model data components
• Assist the Forecasting team in automating non-model allowances forecast components
• 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 ACLs-related 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 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)
• Experience with both structured and unstructured data, as well as semantic layers and cube dimensions
• Familiarity with cloud offerings and capabilities including but not limited to –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
• Comfortable to present findings and recommendations to senior management and other stakeholders.

Preferred qualifications, capabilities, and skills

• Knowledge of regulatory modeling (IFRS9 / CECL / CCAR)
• Experience with forecast execution or analytics in finance, risk management, or a related capacity
• Credit risk experience in one or more US consumer credit portfolios
• Working knowledge of P&A, product analytics, statistical modeling, model execution