Risk Manager

Company Description JuicyScore, founded in 2015, develops advanced antifraud solutions for online businesses, focusing on risk assessment and fraud prevention across web and mobile channels. The company provides antifraud scores, device fingerprinting, and a broad set of aggregated data attributes used to enhance internal credit scoring and decision-making systems. Clients typically achieve strong returns on investment and improved model performance metrics through JuicyScore’s unified API, customized scoring, and analytics support. The platform leverages more than 200 data attributes and multiple device and user authentication techniques, emphasizing user behavior, device, software, and connection data. JuicyScore is committed to end-user security and does not use personal, sensitive consumer data or direct identifiers.
Role Description This is a full-time remote role for a Risk Manager at JuicyScore. The Risk Manager will oversee the design, implementation, and continuous improvement of antifraud and credit risk strategies using JuicyScore’s data attributes, scores, and device intelligence. Day-to-day tasks include analyzing risk and performance metrics, building and refining risk models, monitoring fraud trends, and proposing mitigation measures. The role involves collaborating with product, data science, engineering, and client-facing teams to translate business requirements into robust risk policies and decision rules. The Risk Manager will also support clients with best practices for risk management, contribute to documentation and reporting, and ensure alignment with regulatory and data security standards.
Qualifications
Candidates should possess strong analytical, quantitative, and risk modeling skills, including experience with credit risk, fraud risk, or related domains.
Candidates should possess data analysis and technical skills such as working with large datasets, statistical tools, and risk analytics platforms.
Candidates should possess skills in developing and implementing risk policies, decision strategies, and scorecards for online businesses or financial services.
Candidates should possess communication and collaboration skills to work effectively with cross-functional teams and to explain complex risk concepts to non-technical stakeholders.
Candidates should possess knowledge of digital ecosystems, including online lending, payments, or e-commerce, and an understanding of device, behavior, and connection-based risk signals.
Relevant qualifications include experience in risk management, antifraud, or credit scoring, and a bachelor’s degree in finance, economics, statistics, mathematics, computer science, or a related field.
Experience with API-based solutions, model validation, and familiarity with regulatory and data privacy considerations is highly beneficial.

Work arrangement
Yes