nSure.ai is the payment fraud prevention provider of choice for Crypto, Gaming and Gift Cards. We offer a managed service based on adaptive AI that deploys, for each customer, a dedicated model trained on their data. Focusing on behavioral patterns - the most accurate and uniquely effective way to mitigate modern scalable fraud - our solution takes a fundamentally different approach to detecting fraud and preventing it from happening. Our customers benefit from the highest-efficacy decisions delivered in under 500 ms, with up to 98% approval rates and a chargeback guarantee, generating zero-risk net incremental profit.
About the Role: As a Fraud Operations Analyst, you'll be in charge of detecting, investigating, and mitigating fraud. You'll stay ahead of emerging trends, execute processes to track risk metrics, and ensure top-notch performance for our clients. Collaborating with internal teams, you’ll analyze suspicious behavior, optimize fraud detection strategies, and help minimize financial losses.
You’ll also be responsible for identifying new risk trends and using cutting-edge technologies and methodologies to fight fraud.
The working days for this position are - 2 days per week, with Sundays as a mandatory working day.
If you're passionate about fraud prevention, thrive in a startup environment, and love diving into data, we'd love to meet you!
#Full-Time-Position
#Hybrid
What you'll do
Lead daily fraud operations: Own the detection and management of fraud activities.
Analyze data: Monitor large sets of customer transactional and behavioral data to identify patterns, trends, and anomalies.
Investigate fraud: Research deviations from baseline and recommend corrective actions.
Track emerging trends: Stay ahead of fraud patterns and report findings to enhance strategies.
Collaborate with teams: Provide insights to improve fraud detection models, risk strategies, and operational processes.
Be part of the startup spirit: Contribute to a dynamic team that values innovation and creativity.
Requirements
Availability to work a 40% position / 2 days per week, with Sundays as a mandatory working day
Student for a Bachelor’s degree in exact sciences related areas such as Statistics, Economics, Mathematics, Industrial engineering, Computer Science, or a related field - 3rd or 4th year
Experience in working with SQL databases
Familiarity with Python and the Pandas package
Excellent expression skills both verbal and in writing in English are a must.
Operative and creative thinking.
Ability to work in a dynamic, multi-tasking, high-speed environment.
Team player
Someone who loves the startup spirit and would like to join the ride
Nice to have
Experience in applying statistical techniques
Experience in working in an operational environment