Senior Business Analyst - Credit Risk

Koalafi•Arlington, VA

3d•Onsite

About The Position

At Koalafi, we believe in a world where no one has to put an important purchase on hold. That’s why we’re making it easier for more people to pay for big purchases over time. Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers. Interested in learning more about how we’re transforming the financing experience and joining our team? What You’ll Do: At Koalafi, we use data-driven insights to inform business decisions. This position is responsible for supporting the business by providing analysis, recommendations, and driving the implementation of strategic business initiatives. You will have the unique opportunity to grow alongside the company and help shape the future direction of the business. In this role, you will: Drive research and analysis that powers our strategy, operational, financial, and business development decision-making Develop business plans, including gathering requirements for transformational projects within our new product line Monitor portfolio risk and recommend changes to credit policy strategy Perform in-depth analysis on complex datasets to generate actionable insights Present results to leadership and influence to adopt recommendations Support with regular reports, ad hoc data requests and analysis, transaction analysis, and special inquires as requested Create queries as needed to problem solve and answer internal and external customer questions Produce financial models and NPV analyses

Requirements

Bachelor’s degree in a quantitative field (finance, economics, mathematics, engineering, etc.)
2 years of analysis experience
Proficiency in Python and SQL or similar language
Ability to communicate with data in written and verbal contexts
Exceptional attention to detail and problem-solving skills
Demonstrates curiosity and a growth mindset by actively seeking feedback, continuously developing skills, and adapting to changing priorities and business needs

Nice To Haves

Master’s degree in a quantitative field (finance, economics, mathematics, engineering, etc.)
2+ years of analyst experience in financial industries, ideally consumer lending or credit risk
1+ years at a fast-moving start-up
Experience using in data science and machine learning techniques such as Logistic Regression and/or GBM models

Responsibilities

Drive research and analysis that powers our strategy, operational, financial, and business development decision-making
Develop business plans, including gathering requirements for transformational projects within our new product line
Monitor portfolio risk and recommend changes to credit policy strategy
Perform in-depth analysis on complex datasets to generate actionable insights
Present results to leadership and influence to adopt recommendations
Support with regular reports, ad hoc data requests and analysis, transaction analysis, and special inquires as requested
Create queries as needed to problem solve and answer internal and external customer questions
Produce financial models and NPV analyses