We are looking for a sharp and passionate Data Analyst to join our top-notch data analytics team.
In your role youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for the Global Risk team.
This role also has scope for developing risk models for our existing portfolio of merchants to mitigate the existing financial risk.
Youll be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.
Key Responsibilities
Analyze customer lifecycle stages including acquisition, portfolio management, and collections, providing actionable insights on portfolio performance
Develop and maintain the risk models used to manage customer credit and fraud risk , including exposure and default methodologies, and associated behavioral measures
Create Looker dashboards and reports to visualize key metrics, trends, and performance indicators
Advise business and stakeholders on model usage, impact, and implementation
Support business operations by resolving inquiries and providing ad-hoc insights into portfolio strategies
Design, development, and maintenance of analytical solutions related to our risk
In your role youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for the Global Risk team.
This role also has scope for developing risk models for our existing portfolio of merchants to mitigate the existing financial risk.
Youll be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.
Key Responsibilities
Analyze customer lifecycle stages including acquisition, portfolio management, and collections, providing actionable insights on portfolio performance
Develop and maintain the risk models used to manage customer credit and fraud risk , including exposure and default methodologies, and associated behavioral measures
Create Looker dashboards and reports to visualize key metrics, trends, and performance indicators
Advise business and stakeholders on model usage, impact, and implementation
Support business operations by resolving inquiries and providing ad-hoc insights into portfolio strategies
Design, development, and maintenance of analytical solutions related to our risk
Requirements:
3-5 years of professional work experience as a Risk/Fraud/Business/Data Analyst
High proficiency in SQL and experience in querying large and complex data sets – a must
Strong skills in Python for data analysis – a must
Experienced with BI and data visualization tools – a must
Knowledge of payment ecosystem and risk fields – a big advantage
Working experience in building analytical solutions and predictive models
Manage multiple tasks at a time in a fast-paced environment
Exceptional ability to understand data and to transform it into insights
Team player with strong storytelling skills
Strong communication skills and fluent English
BA/BSc in Statistics / Industrial Engineering / Economics or other quantitative fields
3-5 years of professional work experience as a Risk/Fraud/Business/Data Analyst
High proficiency in SQL and experience in querying large and complex data sets – a must
Strong skills in Python for data analysis – a must
Experienced with BI and data visualization tools – a must
Knowledge of payment ecosystem and risk fields – a big advantage
Working experience in building analytical solutions and predictive models
Manage multiple tasks at a time in a fast-paced environment
Exceptional ability to understand data and to transform it into insights
Team player with strong storytelling skills
Strong communication skills and fluent English
BA/BSc in Statistics / Industrial Engineering / Economics or other quantitative fields
This position is open to all candidates.
