Data Analyst

‍

• Collect, clean, and analyse data from various sources to detect fraudulent patterns and behaviors across the product data repository.
• Collaborate with cross-functional teams to define fraud detection requirements and strategies.
• Investigate suspicious activities and transactions to identify potential scams and fraudulent schemes.
• Develop and implement data-driven playbooks to prevent and mitigate fraud risks.
• Monitor key performance indicators (KPIs) and metrics to assess the effectiveness of fraud prevention measures taken, their impact, and corrective actions needed.
• Stay up to date with emerging fraud trends, techniques, and technologies.
• Communicate findings and recommendations to stakeholders in a clear and actionable manner.
• Participate in the development and enhancement of fraud prevention product features and procedures.

‍

• A minimum of 5 years of work experience
• Database skills: Ability to query data on click house, aerospike, MySQL, etc
• Ability to use visualization tools like SpagoBI, Tableau, etc.
• Knowledge of programming languages such as R or Julia is an addon.
• Soft skills: critical thinking, communication with stakeholders, etc.
• Prior experience in the security, fraud, and IT risk domain is a plus.

‍

We thought you would never ask! We offer all the usual stuff: competitive salary, flexible working hours, and challenging product culture but the real perks are:

‍

• Challenging and fun work environment solving meaningful real-life business problems - you will never have a boring day at the office.
• World-class team who love solving tough problems and have a bias for action. Tanla is an equal-opportunity employer.

‍

We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status

‍