Business Analyst - Fraud

Koalafi•Rosslyn, VA

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? About Koalafi 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. Over 17,000 retailers rely on us to match their customers to a payment plan clearly and quickly, all while reflecting well on their brand. 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. What You’ll Do Fraud is one of the largest challenges plaguing financial institutions today, with an estimated $27 billion in annual losses from identity theft alone1. In addition to identity theft, there is a growing trend of synthetic IDs, manipulated IDs, and abuse of family/friends. Koalafi is seeking a Business Analyst – Fraud Strategy to deliver high-impact analysis and insights that drive informed decision-making and enable profitable portfolio growth. In this role, you will report to the Director of Fraud Strategy & Analytics and analyze fraud performance, investigate emerging patterns, and develop fraud defenses using identity data, behavioral signals, and machine learning based models and risk indicators. You will be a hands-on analyst who can move from data exploration à insight à strategy recommendation à execution, supporting fraud strategy and risk operations. You will partner closely with Data Science, Technology, Product, and Risk Operations. This is an opportunity to join a high-growth fintech and make measurable impact on fraud losses, approvals, and customer experience.

Requirements

Bachelor’s degree in a quantitative or analytical field (e.g., Engineering, Mathematics, Economics, Statistics, etc.)
1-3 years of experience in business analysis, data analytics or a related field
Strong SQL skills and experience working with large datasets
Proficiency in Python for analysis and automation
Ability to translate complex analysis into clear, actionable insights
Aptitude for learning new subject matter knowledge and technical tools
Curiosity and persistence in investigating unexpected trends and anomalies
Strong communication skills (written and verbal) and ability to influence through data
Analytical mindset with strong quantitative intuition

Nice To Haves

2+ years of experience as a business analyst at a financial institution or adjacent industry such as insurance, health tech
Experience with analytical tooling such as dbt, Snowflake, Databricks, Tableau, or similar
Familiarity with A/B testing, statistical analysis, and experiment design
Experience in fraud strategy or credit risk

Responsibilities

Design and optimize fraud defense strategies (rules, policies, thresholds, decision logic) to maximize NPV while balancing operational load and customer impact.
Monitor fraud performance across the portfolio, proactively identifying shifts in risk patterns, approval rates, and operational volumes.
Investigate emerging fraud patterns and root causes, translating trends into actionable recommendations.
Build and maintain fraud analytics infrastructure elements, including dashboards, automated reports and recurring monitoring pipelines.
Conduct cost-benefit and lift analysis for new vendor data products and alternative risk signals.
Provide analytical support to Risk Operations partners.
Present analytical insights and recommendations to stakeholders and leadership in clear, compelling formats that drive informed decision-making.