DescriptionAre 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 Data Analytics Transformation Associate within the Loss Forecasting Team you will execute credit loss forecasting models diagnose model accuracy and lead analyses to assess relationships and patterns that influence the loss performance of our product portfolio. You will have the opportunity to pioneer automation and innovation within our function and will be responsible for the reengineering of processes by identifying streamlining and automating redundant activities. This role offers an exciting opportunity to enhance your skills in a dynamic and fastpaced environment. Withinthe broaderConsumer Credit Risk Management is the Loss Forecasting team. Our team provides reasonable forecasts of delinquencies charge off and recovery of charged off assets throughout the year for Regulatory (CCAR and Risk Appetite) capacity planning and yearend budget in partnership with P&A collections recovery teams by means of various macroeconomic scenarios. The team is also responsible for monitoring the health of the portfolio and updating stakeholders and senior management on emerging trends.
Job responsibilities
- Streamline both model and nonmodel data components
- Assist the Forecasting team in automating nonmodel 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 finegrain forecast analytics
- Manage the delivery of ACLsrelated 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 problemsolving 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 fastpaced 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 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
Required Experience:
IC