Randstadeos
Lead Risk Analytics Consultant - Home Lending Strategy, SAS
In this role, you will:
Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line
Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives
Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
Lead projects, teams, and mentor.
Required Qualifications:
5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications:
5+ years’ experience in a Credit Risk Analytics.
Experience within the US Home Lending environment
5+ years of advanced programming experience in SAS, SPSS, R or Python
Proficiency in Microsoft Office
Strong technical skills and problem solving skills
Must have excellent communication skills, high degree of initiative, strong partnering and interpersonal skills, as well as critical analytical thinking
Ability to conduct reconciliation efforts and report findings in support of research activities
Must possess a results driven attitude committed to quality work.
Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
Flexibility with changing priorities
Ability to interact with integrity and a high level of professionalism with all levels of team members and management
Familiarity with account/portfolio management within the banking industry
Demonstrated excellence at developing sound credit processes and enhancing existing processes
Proficiency with SAS macros and experience in leveraging macros to make processes more efficient
Knowledge of SQL & data visualization tools such as Tableau
Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
Ability to research and report on a variety of issues using problem solving skills
Understanding of bank data sets and other industry data sources
Job Expectations:
Degree/Master’s degree in quantitative discipline.
Shift Timings: 1:30 to 10:30 PM