What are the responsibilities and job description for the Risk Strategy Data Analyst position at Paysafe?
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
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
- 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
- Advanced SQL knowledge is a must, preferably experience in Snowflake or BigQuery.
- Experience with business intelligence tools such as Tableau.
- Experience in Statistical software