Data Scientist, Dispute Risk

About the role We’re hiring a data-driven Risk Analyst with strong analytical skills and an investigative mindset. You’ll help reduce fraud losses, improve risk processes, and protect a positive member experience. Alongside your core analytics work, you will also be investigating selected fraud and dispute cases-bringing together case evidence, transaction and account data, and risk signals to support clear, well-documented outcomes. You’ll work closely with Product, Engineering, Data Analytics, Operational and member Experience partners. The role is a good fit for someone who can move between portfolio-level questions and detailed case review, conduct ground level investigation and data queries , communicate what the evidence supports, and turn findings into better risk decisions and processes. In this role, you can expect to Analyze fraud and loss trends (25%) - Explore data proactively and in response to loss events to identify drivers, quantify opportunities, and recommend ways to reduce losses while minimizing member friction. Investigate fraud and dispute cases (30%) - Review assigned cases from intake through resolution or escalation. Bring together relevant member statements, transaction and account history, merchant evidence where applicable, and risk signals. Assess evidence quality and consistency; document what is supported, what remains uncertain, and the recommended next step in accordance with established policies and decision authority. Understand agent SOPs and get familiar with using agent tools with the goal to improve AHT and decision accuracy. Improve processes and automation (20%) - Identify and apply AI and automation opportunities across dispute and fraud workflows to reduce repetitive manual work, improve consistency, and accelerate analysis. Partner with relevant teams to test solutions, validate outputs, and ensure appropriate human review and controls before implementation. Build reporting and monitor performance (10%) - Develop and maintain actionable dashboards and reports that track risk performance against loss and member-experience metrics. Collaborate on ad hoc needs (15%) - Partner with internal stakeholders to answer time-sensitive questions and communicate findings clearly to technical and non-technical audiences. To thrive in this role, you have 2+ years of analytical experience, preferably in financial services or fintech. 2+ years of experience in Fraud, Compliance, Risk, Investigations, or a related field; relevant case-review or dispute experience is a plus. Excellent SQL and advanced google sheets skills; experience with Python is preferred. Familiarity with payment processing fundamentals and an interest in fraud typologies, risk trends, or risk strategy. Strong critical thinking and attention to detail; you can synthesize information across multiple sources and explain how it supports a conclusion. Clear written communication and sound documentation habits, especially when handling sensitive, member-impacting cases. Strong organization and follow-through, with the ability to manage analytical work and assigned investigations in a fast-paced environment. Proficient using AI-assisted tools and automation to improve productivity, while validating outputs and protecting sensitive information. A growth mindset, willingness to learn new tools and processes, and a passion for Chime’s mission. A bachelor’s or master’s degree in a quantitatively rigorous discipline such as engineering, statistics, mathematics, or economics is preferred. #LI-Onsite #LI-BE1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wa