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Senior Fraud Data Analyst-ID186

Full Time Job @TalentSathi – Simplifying the Recruitment in other
  • Pulchok,Lalitpur
  • Post Date : July 7, 2024
  • Apply Before : July 17, 2024
  • Salary: ₨150,000.00 - ₨300,000.00 / Monthly
  • 1 Application(s)
  • View(s) 270
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Job Detail

  • Experience 4 Year
  • Industry Software Company
  • 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.

Required skills

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