Credit Acquisition Expert
Clara
Clara is the leading spend management platform for companies in Latin America. Our end-to-end solution includes our locally-issued corporate cards, a Bill Pay product, financing solutions, and our highly-rated software platform; already being used by thousands of the most successful companies across the region.
Clara is backed by top global and regional investors such as GGV Capital, Coatue, DST Global Partners, General Catalyst, monashees, Acrew Capital, Kaszek, Citius, Canary, Citi Ventures, Picus Capital, Avid Ventures, ICONIQ Growth, Endeavor Catalyst, Goldman Sachs, Accial Capital, and prominent angel investors.
Objective:
To establish and maintain effective credit acquisition policies and procedures, utilizing advanced analytics and strategic initiatives to mitigate risks, optimize processes, and contribute to the financial stability and success of the organization.
Responsibilities:
- Strategic Policy Development: Develop and refine credit acquisition policies and procedures to maximize efficiency and effectiveness globally, ensuring alignment with organizational goals.
- Risk Assessment and Mitigation: Utilize advanced statistical models and data-driven analytics techniques to assess credit risks and implement strategies for risk mitigation.
- Process Improvement: Continuously monitor and optimize the credit acquisition process to enhance efficiency, effectiveness, and compliance with regulations.
- Cross-functional Collaboration: Collaborate with cross-functional teams including data scientists, product managers, and business development teams to integrate analytical insights into product development and customer acquisition strategies.
- Policy Implementation and Monitoring: Oversee the implementation of credit acquisition policies, ensuring adherence to regulatory requirements and driving continuous improvement initiatives.
- Communication and Stakeholder Management: Effectively communicate credit acquisition policies, strategies, and performance to stakeholders, providing insights and recommendations for decision-making.
Qualifications:
- Bachelor's degree in Statistics, Data Science, Economics, Finance, or related field.
- 5+ years of experience in a data-driven role within financial services, with a focus on credit risk analytics, strategy development, and policy implementation.
- Proficiency in data science, statistical software, and data visualization tools.
- Strong understanding of credit risk assessment methodologies, statistical modeling, and predictive analytics.
- Excellent problem-solving skills with a strategic and analytical mindset.
- Ability to communicate complex analytical findings effectively to non-technical stakeholders.
- Fluent in English.