Fraud Operations Analyst | Tuesday–Saturday at nSure.ai

Bishkek City, , Kyrgyzstan -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

05 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Detection, Data Analysis, SQL, Python, Pandas, Statistical Techniques, Risk Mitigation, Problem Solving, English Communication

Industry

Financial Services

Description

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 on a daily basis. 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 Tuesday through Saturday. 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 Requirements Must Have: Bachelor’s degree in a relevant field (Statistics, Economics, Mathematics, Industrial Engineering, Computer Science, etc.). 2+ years of experience as a data analyst. Experience applying statistical techniques and working with SQL databases. Proficiency in Python and the Pandas package. Strong analytical and problem-solving skills. Excellent communication skills in English (both verbal and written). Advantage: Experience in fraud/risk analysis. Experience working in an operational environment. Creative thinking and attention to detail. Ability to work independently and manage multiple priorities in a fast-paced environment. Responsibilities 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. Skills null

Responsibilities

Lead daily fraud operations by detecting, investigating, and mitigating fraudulent activities. Analyze large transactional datasets to identify patterns and collaborate with teams to optimize detection models.