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 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 re-engineering of processes by identifying, streamlining, and automating redundant activities. This role offers an exciting opportunity to enhance your skills in a dynamic and fast-paced environment.  Within the broader Consumer 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 year-end budget in partnership with P&A, collections, recovery teams by means of various macro-economic 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 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