Credit Analyst at Earnipay

Job Role

• As a Credit Analyst at Earnipay, you will play a crucial role in ensuring our lending operations' financial stability and growth.
• You will be responsible for building risk assessment models, managing data and reporting, and overseeing various credit-related functions.
• We are seeking candidates with a minimum of 4 years of experience in banking or lending fintech.
• Data Scientists with previous experience in credit risk or credit portfolio management are also welcome to apply.

Responsibilities

• Risk Assessment Models: Develop, refine, and maintain risk assessment models to evaluate the risk profile of individuals or businesses seeking earned wage access and other credit products. 
• Data Analysis: Analyze financial statements, credit reports, and other relevant data sources to make informed lending decisions.
• Credit Policy Development: Collaborate with the senior management team to establish and update credit policies, ensuring compliance with regulatory requirements.
• Credit Risk Models: Develop and maintain credit risk assessment models that accurately evaluate the creditworthiness of applicants and borrowers.
• Credit Underwriting: Lead the credit underwriting process, including reviewing loan applications, conducting risk assessments, and determining appropriate loan terms and conditions.
• Portfolio Management: Monitor the performance of the loan portfolio, identifying and mitigating potential risks and delinquencies.
• Data and Reporting: Prepare regular reports on credit portfolio performance, delinquency rates, and other key performance indicators for senior management and regulatory authorities.
• Compliance: Ensure compliance with all relevant laws and regulations governing lending practices.
• Team Collaboration: Collaborate with cross-functional teams, including sales, customer success, product, and engineering, to optimize lending operations.
• Continuous Improvement: Continuously assess and enhance credit risk assessment processes and strategies to improve lending efficiency and reduce risk.

Qualifications

• Bachelor's Degree in Finance, Economics, Data Science, Business, or a related field. Master's degree or professional finance certification is a plus.
• Minimum of 4 years of experience in credit management, risk assessment, or underwriting at a bank, microfinance institution, or fintech company.
• Strong analytical and quantitative skills, with the ability to interpret financial data and build predictive models.
• Knowledge of relevant regulatory requirements and lending best practices.
• Excellent communication and interpersonal skills.
• Proficiency in data analysis tools and software (e.g., Python, Excel, SAS, R).
• Ability to work in a fast-paced, dynamic environment and adapt to changing business needs.
• Strong attention to detail and a commitment to accuracy.

Must have skills:

• Data Analysis Portfolio Management Data and Reporting Financial Analysis