Senior Manager, Data Analytics driving predictive insights across multiple business units for content optimization at Adobe. Leading analytics initiatives and developing a high - performing team to enhance data - driven decision - making and drive business model evolution.
About the role
- Credit Risk Analytics Manager conducting quantitative credit/behavioral/financial analytics for bank consumer portfolios. Collaborating with stakeholders to deliver insights and manage risks effectively.
Responsibilities
- Apply analytical skills to assess risks and opportunities for a bank consumer portfolio and translates results into recommendations.
- Effectively develop analytical concepts in support of key stakeholders to deliver on bank risk strategies.
- Conduct quantitative analysis utilizing extensive internal and external data sources.
- Develop qualitative analysis to support departmental decision making.
- Research credit, product, and/or risk proposals and utilize critical thinking skills to provide analysis ensuring strong portfolio performance outcomes.
- Build and/or maintain effective risk management frameworks which can identify, measure, or mitigate risk.
- Develop and maintain comprehensive risk reporting in support of management and committee oversight of existing and emerging risks.
- May develop and/or execute financial risk sensitivity analysis.
- May execute credit and/or financial modeling infrastructure.
Requirements
- Bachelor’s degree: OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- Minimum 2 years’ experience in an analytical field or focused on risk management execution, analytics or risk assessments; OR an advanced degree in a quantitative, scientific, engineering, business or technical field; OR an equivalent level of demonstrated competencies in leading risk management execution, analytics and risk assessments.
- Experience communicating analytical insights to various stakeholders.
- Ability to apply critical thinking skills with various data to problem solve effectively.
- Basic understanding of data, code, or reporting tools.
Benefits
- comprehensive medical, dental and vision plans
- 401(k)
- pension
- life insurance
- parental benefits
- adoption assistance
- paid time off program with paid holidays plus 16 paid volunteer hours
- various wellness programs
- career path planning and continuing education
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