Senior Fraud Data Analyst-ID186
Full Time Job @TalentSathi – Simplifying the Recruitment posted 5 months ago in other Email JobJob Detail
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Experience 4 Year
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Industry Software Company
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Qualifications Bachelor
Job Description
We are seeking a highly skilled Senior Fraud Data Analyst to join our team. The ideal candidate will have extensive experience in data analysis, particularly in fraud and risk analysis, with a background in exact-sciences-related areas.
Salary:1.5-3 lakh
Please send your resume and preference of expectations, flexibility, and benefits to [email protected], we will fast-track the application process.
Requirements:
– Bachelor’s degree from exact-sciences-related areas such as Statistics, Economics, Mathematics, Industrial engineering, Computer Science, or a related field.
– Master’s degree and or an active student for a Master’s degree – worked on, or actively working on a thesis an advantage
– At least 4 years of experience as a data analyst.
– Experience in fraud/risk analysis in payment fraud.
– Experience in one of the following domains; Gaming, Gift cards, or Crypto- an advantage
– Significant experience in applying statistical techniques.
– Strong proficiency in working with SQL databases.
– Strong proficiency in Python and the Pandas package.
– Understanding of general concepts in the field of Machine Learning – an advantage.
– Excellent expression skills both verbal and in writing in English are a must.
– Operative and creative thinking.
– Ability to work in an operational, dynamic, multitasking environment.
– Team player.
– Someone who loves the startup spirit and would like to join the ride.
Responsibilities:
– Track fraud trends by analyzing accounts and transaction patterns.
– Analyze deep transactional and behavioral data patterns and trends and provide data insights.
– Research reasons for deviation from baseline, and collaborate with data science teams for taking corrective measures.
– Identify and foreseen future fraud trends and patterns.
– Observe customer transactions to identify fraudulent activity.
– Design and develop analytics infrastructure for researching scalable fraud.
Please send your resume and preference of expectations, flexibility, and benefits to [email protected], we will fast-track the application process.
