- Professional
- Oficina en Bengaluru
About the role
We are seeking a highly analytical and detail-oriented Fraud & Risk Data Analyst to join our Risk & Compliance team. The ideal candidate will be passionate about using data to detect patterns, uncover anomalies, and design strategies that protect our customers and business from emerging threats. You will play a key role in analyzing fraud trends, enhancing detection frameworks, and supporting cross-functional teams with actionable insights.
What you'll do- Monitor, analyze, and investigate unusual patterns in customer and transaction data to identify potential fraudulent activity.
- Develop and maintain dashboards, reports, and models to track fraud trends, risk exposure, and KPIs.
- Work closely with risk, compliance, and product teams to strengthen fraud detection rules, scoring models, and prevention strategies.
- Conduct root cause analysis of confirmed fraud incidents and provide recommendations for process or system improvements.
- Evaluate the effectiveness of existing fraud detection tools, rules, and machine learning models; propose refinements for better accuracy.
- Partner with data engineering and product teams to ensure data quality and build scalable fraud monitoring solutions.
- Stay informed about evolving fraud techniques, regulatory requirements, and industry best practices to help future-proof the company’s fraud prevention capabilities.
What we are looking for- Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or related field. An advanced degree is a plus.
- 2–4 years of experience in fraud analytics, risk management, or related data-focused roles.
- Strong analytical and problem-solving skills, with proficiency in SQL and data visualization tools (e.g., Metabase).
- Experience with Python or R for data analysis and statistical modeling is preferred.
- Knowledge of fraud detection systems, scoring models, or transaction monitoring frameworks.
- Strong business acumen with the ability to translate complex data insights into clear, actionable strategies.
- Excellent communication skills to work effectively with cross-functional stakeholders.
What's in it for you- Contribute to building the Middle East’s most beloved fintech brand from the ground up
- Benefit from a role with significant ownership and accountability
- Thrive in a flexible hybrid culture with ample work-life balance
- Participate in exciting offsite events
- Competitive salary and equity
- Enjoy additional perks like travel allowances, gym memberships, and more
Solicitar ahora
- Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or related field. An advanced degree is a plus.
- 2–4 years of experience in fraud analytics, risk management, or related data-focused roles.
- Strong analytical and problem-solving skills, with proficiency in SQL and data visualization tools (e.g., Metabase).
- Experience with Python or R for data analysis and statistical modeling is preferred.
- Knowledge of fraud detection systems, scoring models, or transaction monitoring frameworks.
- Strong business acumen with the ability to translate complex data insights into clear, actionable strategies.
- Excellent communication skills to work effectively with cross-functional stakeholders.