As a Senior Data Analyst in our Risk Organization, you will play a pivotal role in transforming complex data into actionable insights that drive risk management strategies. You will be responsible for designing and implementing analytical frameworks, creating comprehensive dashboards, and developing data models that enable proactive risk identification and mitigation. This role offers an exciting opportunity to make a significant impact on PayUs risk management capabilities while working with cutting-edge technologies in the fintech space.

Responsibilities:

Design, develop, and maintain interactive dashboards and reporting systems to monitor key risk metrics and KPIs
Perform in-depth analysis of transaction patterns, user behaviors, and market trends to identify potential risks and opportunities
Develop and implement data models and algorithms to detect and prevent fraudulent activities
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
Create and automate regular reports for stakeholders across the organization
Conduct root cause analyses for risk incidents and recommend preventive measures
Support the development and refinement of risk policies based on data-driven insights
Identify opportunities for process improvements and efficiency gains through data analysis
Stay updated with industry trends and best practices in risk analytics and data visualization
Mentor junior analysts and contribute to building analytical capabilities within the team

Requirements:

Bachelors or Masters degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field
5+ years of experience in data analysis, business intelligence, or related roles, preferably in fintech, payments, or financial services
Proven experience with data analysis tools and languages such as SQL, Python, R, or SAS
Strong proficiency in data visualization tools (Tableau, Power BI, Looker, or similar platforms)
Experience in setting up dashboards and reporting systems from scratch
Knowledge of risk management concepts and fraud detection methodologies is highly desirable
Excellent problem-solving skills with the ability to work with large, complex datasets
Strong communication skills with the ability to present complex analyses to non-technical stakeholders
Experience with big data technologies (Hadoop, Spark, etc) is a plus
Understanding of machine learning concepts and their application in risk management is advantageous
Self-motivated with the ability to work independently and as part of a team in a fast-paced environment

What we offer

A positive, get-things-done workplace
A dynamic, constantly evolving space (change is par for the course important you are comfortable with this)
An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale
Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)

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Senior Data Analyst