Wholesale Payments Decision Scientist

Key Skills

Data science techniques, Decision Science, Effective communication skills, Machine learning techniques, Planning and organization

Job Description

We are seeking an experienced Decision Scientist with expertise in Wholesale Payments industry. In this role, you will provide data-driven insights understand and enable product utilization, sales growth, and revenue impacts. Your key responsibilities will include analyzing large datasets, developing predictive models, and providing actionable recommendations to support business decisions. The ideal candidate will have a strong background in quantitative analysis, proficiency in statistical software, and a keen understanding of financial systems and processes.

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

• As a Senior Decision Scientist, act as a force multiplier, with a focus on high impact, visible analyses and initiatives covering commercial banking segments and products.

• Partner on target initiatives as assigned; work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.

• Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers. Maximize relationships and build trust with partners while supporting efforts aligned to LOB and company goals.

• Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization.

• Champion the use of tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable.

• Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.