Analyst II, Credit Risk Analytics
WFA Digital Insight
The demand for skilled credit risk analysts has surged, with a 25% increase in job postings over the past year. As the fintech industry continues to evolve, companies like Affirm are at the forefront of innovation, making this role particularly exciting for those passionate about data-driven decision making. With the shift towards more transparent and customer-centric financial services, candidates with a strong background in data analysis and a drive to make a difference will find this opportunity compelling. Before applying, it's essential to understand the current market context and the skills required to excel in this field, such as proficiency in SQL and Python, and experience with machine learning and quantitative market analysis.
Job Description
About the Role
The Analyst II, Credit Risk Analytics role at Affirm is a critical position that requires a deep understanding of data analytics and its application in credit risk management. As a key member of the Credit team, you will work cross-functionally with various departments, including Machine Learning, Product, Engineering, Capital Markets, and Commercial teams, to develop and implement effective credit strategies that drive business growth while minimizing risk. Your day-to-day responsibilities will involve leveraging advanced data analytics to derive insights, optimizing credit strategies, and partnering with internal teams to build and improve credit risk capabilities.The Credit team at Affirm is responsible for managing the risk profile of the business, ensuring sustainable growth, and maintaining the profitability and resilience of the portfolio. As the company continues to expand, it's essential to have a team that can think critically and develop innovative solutions to complex problems. Your contributions will be vital in shaping the company's credit policies, testing and experimentation, and navigating through any external changes that may impact the business.
What You Will Do
- Leverage advanced data analytics to derive insights and optimize credit strategies
- Perform portfolio analytics, including out-of-trend investigations and attribution analysis
- Partner with Machine Learning and Engineering on building effective monitoring and credit risk capabilities
- Monitor portfolio and macroeconomic trends impacting loan performance
- Drive adjustments to underwriting and marketing strategies to mitigate risk
- Contribute to enhancing the end-to-end portfolio management monitoring framework
- Collaborate with cross-functional teams to develop and implement new credit policies and procedures
- Analyze and report on key credit risk metrics and performance indicators
- Develop and maintain databases and data systems to support credit risk analysis
What We Are Looking For
- 3-5 years of work experience as a data analyst, with a strong preference for consumer credit risk management experience
- Passion and drive to change banking, payments, and online marketing for the better
- Curiosity to learn about data, models, and algorithms
- Extensive experience with SQL and Python
- Ability to collaborate and influence across different teams in the organization
- Ability to communicate findings and recommendations clearly to both technical and non-technical audiences
- A passion for finding insights in data and driving change based on those insights
- Strong analytical and problem-solving skills
- Experience with machine learning and quantitative market analysis
Nice to Have
- Experience with cloud-based data platforms and tools
- Knowledge of fintech industry trends and regulations
- Certification in data science or a related field
- Experience with agile development methodologies
Benefits and Perks
- Competitive base salary
- Equity rewards
- Monthly stipends for health, wellness, and tech spending
- 100% subsidized medical coverage, dental, and vision for you and your dependents
- Flexible remote work arrangements
- Opportunities for professional growth and development
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Recognition and reward for outstanding performance
How to Stand Out
- Ensure your resume and cover letter highlight your experience with data analytics and credit risk management.
- Be prepared to provide examples of how you've used data to drive business decisions and optimize credit strategies.
- Develop a strong understanding of the fintech industry and the company's mission and values.
- Practice your communication skills, as the ability to explain complex data insights to non-technical audiences is crucial.
- Research the company's culture and be ready to discuss how you'll contribute to and thrive in a remote-first environment.
- Review the job description carefully and prepare questions to ask during the interview, such as what tools and technologies are used and what opportunities are available for professional growth and development.
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