Risk Analytics - Consultant

Job Description

In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desires Qualifications: Experience in Loss Forecasting, CCAR Reporting, Stress testing or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Expertise in few programming and statistical packages - SAS, SQL Advanced expertise in MS office tools including Excel and Powerpoint Desired Qualifications: Strong analytical and problem-solving skills with keen attention to detail Model review and ability to analyze and challenge model parameters and assumptions Understand business objectives and provide challenge to requirements. Knowledge and understanding of credit risk, loss forecasting, and related governance policies. Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve accuracy. Ensure comprehensive documentation exists supporting the end-to-end data reporting and analysis approach and execution. Understanding of complex databases and ability to navigate and query data effectively. Apply critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality results. Ensure adherence to data management/ model governance regulations and policies. Ensure adherence to compliance and legal regulations and policies on all projects managed Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals. Understanding in Python, Tableau, PowerBI will be an added advantage. Job Expectations: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within Loss Forecasting, and contribute to Loss Forecasting submissions Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models. Review Loss Forecasting quantitative and qualitative models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Loss Forecasting deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals within tight deadlines Partner with cross enterprise risk analysts in development of common modeling strategies