Key Responsibilities
- Analyze transactional and behavioral data using SQL and Python to identify suspicious patterns and emerging fraud schemes
- Develop, tune, and improve fraud detection rules and anti-fraud dashboards
- Evaluate the quality and effectiveness of detection rules by tracking precision and other key performance metrics
- Manage fraud cases end-to-end, from identifying suspicious activity to investigation, documentation, and escalation of confirmed incidents
- Conduct risk assessments of new and existing product features in collaboration with Product teams
- Analyze and monitor fraud losses, identify key sources of losses, and develop plans to reduce them
- Propose and implement fraud risk mitigation measures together with Product and other cross-functional teams
Skills, Knowledge and Expertise
- 2+ years of experience in anti-fraud, risk analytics, or a related analytical field
- Strong proficiency in SQL and Python for analyzing large datasets
- Solid understanding of statistics and the ability to apply statistical methods to behavioral analysis and anomaly detection
- Experience working with data and the ability to independently identify suspicious patterns and formulate hypotheses
- Strong analytical thinking, attention to detail, and a structured approach to investigations
- Ability to work in ambiguous environments and independently drive investigations from initial detection to actionable conclusions and recommendations
- English — B2 or higher
Why join us
- Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries
- Develop your professional skills with access to mentoring, career consulting, and learning programs
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
- Work alongside people who take initiative, speak openly, and challenge themselves to grow
- Improve your language skills through co-financed courses and internal speaking clubs
About
inDrive is a global tech company on a mission to challenge injustice through fair choices. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 400M installs across 48 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. We are committed to having a positive impact on people’s lives both through our core business, which supports local communities via a fair pricing model; and through the work of our impact programs. Ready to ignite your inner drive?
Skills Required
- 2+ years of experience in anti-fraud, risk analytics, or a related analytical field
- Strong proficiency in SQL
- Strong proficiency in Python
- Solid understanding of statistics and ability to apply statistical methods
- Experience analyzing large datasets and independently identifying suspicious patterns
- Strong analytical thinking, attention to detail, and a structured investigative approach
- Ability to work in ambiguous environments and drive investigations to actionable conclusions
- English proficiency B2 or higher
What We Do
inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.







