Senior Risk Analytics Consultant

n this role, you will:

• Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics

• Review and analyze moderately complex data aggregation, forecasting, reporting, and programming 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 Risk Analytics 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!

• Lead projects, teams, and mentor less experienced staff

• Partner with cross enterprise risk analysts in development of common modeling strategies

Required Qualifications:

• 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• 4+ years of experience in one or a combination of the following: analytics, reporting, financial modeling, statistical modeling, finance, or accounting; or a BS/BA or higher in Finance, Accounting, Statistics, Economics or Business

• 2+ years’ experience in credit card, unsecured loans

• Prior experience in consumer lending data, pricing analytics

• Experience in using Python code to manipulate and display data and conduct financial modeling.

• SAS programming experience in model implementation, reporting, and complex data manipulations

• Strong analytical skills and ability to build business cases.

• Experience building business cases for data-driven process-related improvements.

• Experience developing rule-based models, advanced predictive models, and descriptive statistics.

Job Expectations:

• Advanced Microsoft Excel skills, including high level of proficiency in modeling.

• Ability to synthesize complex analytical findings into executive level communications.

• Ability to communicate effectively, in both written and verbal formats, with senior executive-level leaders.

• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment

• Hands on experience in SAS, Python, Excel, Unix, Tableau, Consumer lending, Cards and Unsecured loans

SAS, Python, Excel, Unix, Tableau, Consumer lending, Cards and Unsecured loans