Job Description:
Advance your career in Quantitative Analytics with a leading role at the world's most innovative bank, renowned for valuing creativity and excellence. The Finance Decision Optimization product team within Consumer and Community Banking Finance is tasked with overseeing all analytics and support related to the development, maintenance, and production deployment of AI/ML-based models across all Consumer and Community Banking Lines of Business.
Job Responsibilities:
- Define modeling requirements for optimizing financial decisions across lending and deposit products.
- Collaborate closely with the business modeling team to develop robust financial decision-making models.
- Present results and recommendations clearly and concisely to executive stakeholders.
- Analyze model inputs and outputs to support model development and deployment.
- Partner with business teams to integrate model outputs into business strategies.
- Conduct comprehensive analyses to assist management in understanding the business impact of financial strategies.
- Design Minimum Viable Product (MVP) test plans and conduct tests.
- Develop and maintain dashboards and relevant reporting to monitor model performance.
Required Qualifications:
- A postgraduate degree in a quantitative discipline such as Mathematics, Finance, Statistics, Economics, or equivalent.
- 3+ years of experience in data analytics with a proven track record.
- Banking experience in one or more U.S. consumer credit portfolios.
- Experience with SQL, Python, public cloud, and Databricks.
- Proficiency in Microsoft Office, especially Excel and PowerPoint.
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