Risk Strategy Data Analyst

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