Risk Strategy Data Analyst

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