Paysafe

Jacksonville, FL 32250, USA
www.paysafe.com

Paysafe is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With 29 years of online payment experience, an annualized transactional volume of $152 billion in 2024, and approximately 3,000 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in 48 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments

1 job(s) at Paysafe

Risk Data Strategy Analyst

Paysafe Jacksonville, FL 32250, USA

The Strategic Risk Data Analyst will be responsible for conceptualizing and developing data-driven risk solutions by applying advanced analytical techniques. This individual will play a critical role in the Global Risk Analytics team and identify emerging trends in consumer & merchant risk profiles and translate those findings into actionable insights. Responsibilities Develop automated executive and management level portfolio reporting Support all business units within the Risk Department in creating and maintaining operational reporting and Dashboards Become the Subject Matter Expert (SME) for all data related to the Risk department Use advanced analytics to generate actionable insights and develop risk strategies to drive portfolio growth while mitigating risk. Produce forecasting models, analysis, and recommendations to understand and mitigate risk potential vulnerabilities Analyse and proactively identify emerging risk trends and adapt existing strategies and methodologies accordingly Perform root–cause analysis to significant changes in KPIs Perform in-depth data analysis on risk profiles of consumers accounts and prior losses to identify new actionable trends Conduct exploratory analyses to identify key triggers of consumers and transaction behaviour that can be leveraged strategically Qualifications Bachelor’s degree in Data Science, statistics, mathematics, engineering, computer science or any other quantitative discipline; Master’s degree is a plus. 3+ years of experience, preferably in a data analytics, or relevant area Advanced SQL knowledge is a must, preferably experience in Snowflake. Experience in at least one scripting language such as R or Python is a plus. Experience with report analysis and development using business intelligence tools such as Power BI or Looker is a plus Able to multitask and work effectively in a high-volume, fast-paced and evolving environment Excellent communication abilities and compelling presentation skills Tools Advanced SQL knowledge is a must, preferably experience in Snowflake or BigQuery. Experience with business intelligence tools such as Tableau. Experience in Statistical software

Apr 27, 2026

Full time

The Strategic Risk Data Analyst will be responsible for conceptualizing and developing data-driven risk solutions by applying advanced analytical techniques. This individual will play a critical role in the Global Risk Analytics team and identify emerging trends in consumer & merchant risk profiles and translate those findings into actionable insights. Responsibilities Develop automated executive and management level portfolio reporting Support all business units within the Risk Department in creating and maintaining operational reporting and Dashboards Become the Subject Matter Expert (SME) for all data related to the Risk department Use advanced analytics to generate actionable insights and develop risk strategies to drive portfolio growth while mitigating risk. Produce forecasting models, analysis, and recommendations to understand and mitigate risk potential vulnerabilities Analyse and proactively identify emerging risk trends and adapt existing strategies and methodologies accordingly Perform root–cause analysis to significant changes in KPIs Perform in-depth data analysis on risk profiles of consumers accounts and prior losses to identify new actionable trends Conduct exploratory analyses to identify key triggers of consumers and transaction behaviour that can be leveraged strategically Qualifications Bachelor’s degree in Data Science, statistics, mathematics, engineering, computer science or any other quantitative discipline; Master’s degree is a plus. 3+ years of experience, preferably in a data analytics, or relevant area Advanced SQL knowledge is a must, preferably experience in Snowflake. Experience in at least one scripting language such as R or Python is a plus. Experience with report analysis and development using business intelligence tools such as Power BI or Looker is a plus Able to multitask and work effectively in a high-volume, fast-paced and evolving environment Excellent communication abilities and compelling presentation skills Tools Advanced SQL knowledge is a must, preferably experience in Snowflake or BigQuery. Experience with business intelligence tools such as Tableau. Experience in Statistical software