fraud detection analyst

Integrated Solution Employment Services

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 Fraud Analyst </b></div>
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 <p> <strong>Fraud Analyst</strong> <br>Location: Dubai, UAE</p> <p> </p> <p> <strong>Job Description:</strong> <br>We are hiring a meticulous Fraud Analyst to protect our organization from fraudulent activities. This role involves monitoring transactions, analyzing data, and identifying irregularities to ensure security.</p> <p> </p> <p> <strong>Key Responsibilities:</strong> </p> <p>Analyze data to detect suspicious activities or fraud patterns.<br>Investigate and report fraudulent transactions.<br>Collaborate with teams to implement anti-fraud strategies.<br>Ensure compliance with regulatory requirements.</p> <p> </p> <p> <strong>Requirements:</strong> </p> <p>Experience in fraud detection or risk analysis.<br>Strong analytical and problem-solving skills.<br>Attention to detail and proficiency in data analysis tools.</p> </div>
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Fraud Analyst

SALLA

<div><p>As a Fraud Analyst at Salla, you will play a critical role in safeguarding our platform against fraudulent activities. You will utilize your analytical skills to monitor transactions, analyze patterns, and investigate potential fraud cases. Your insights will be essential in enhancing our fraud detection strategies and ensuring customer trust.</p><p><b>
Key Responsibilities:</b></p><ul><li><ul>
<li>
Monitor and analyze transactions for signs of fraudulent activity.
</li><li>Conduct thorough investigations into suspicious transactions and alert relevant departments as necessary.
</li><li>Collaborate with various teams to develop resources and tools to mitigate fraud risks.
</li><li>Stay informed about the latest trends in fraud detection and prevention.
</li><li>Prepare detailed reports on findings, trends, and recommendations for improvement.
</li><li>Educate staff and clients on best practices for preventing fraud.
</li><li>Assist in the design and implementation of fraud prevention policies.
</li><li>Work with law enforcement and regulatory bodies when necessary.
</li><li>Exceptional attention to detail and problem-solving abilities.
</li><li>High level of integrity and ability to handle sensitive information.
</li></ul></li></ul><p><b>Requirements</b></p><ul>
<li><ul><li>
Bachelor's degree in a relevant field.</li></ul></li>
<li><ul><li>At least 2 years of experience in fraud analysis or a related field.
</li><li>Strong analytical and critical thinking skills.
</li><li>Experience with fraud detection software and analytical tools.
</li><li>Experience of financial regulations and compliance.
</li><li>Excellent written and verbal communication skills.
</li><li>Ability to work in a fast-paced environment and manage multiple tasks.
</li><li>Relevant certifications (e.g., CFE, CFCA) are a plus.</li></ul></li></ul></div>

Salla

<div>
 As a Fraud Analyst at Salla, you will play a critical role in safeguarding our platform against fraudulent activities. You will utilize your analytical skills to monitor transactions, analyze patterns, and investigate potential fraud cases. Your insights will be essential in enhancing our fraud detection strategies and ensuring customer trust.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Monitor and analyze transactions for signs of fraudulent activity.
  </li>
  <li>
   Conduct thorough investigations into suspicious transactions and alert relevant departments as necessary.
  </li>
  <li>
   Collaborate with various teams to develop resources and tools to mitigate fraud risks.
  </li>
  <li>
   Stay informed about the latest trends in fraud detection and prevention.
  </li>
  <li>
   Prepare detailed reports on findings, trends, and recommendations for improvement.
  </li>
  <li>
   Educate staff and clients on best practices for preventing fraud.
  </li>
  <li>
   Assist in the design and implementation of fraud prevention policies.
  </li>
  <li>
   Work with law enforcement and regulatory bodies when necessary.
  </li>
  <li>
   Exceptional attention to detail and problem-solving abilities.
  </li>
  <li>
   High level of integrity and ability to handle sensitive information.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in a relevant field
  </li>
  <li>
   At least 2 years of experience in fraud analysis or a related field.
  </li>
  <li>
   Strong analytical and critical thinking skills.
  </li>
  <li>
   Experience with fraud detection software and analytical tools.
  </li>
  <li>
   Experience of financial regulations and compliance.
  </li>
  <li>
   Excellent written and verbal communication skills.
  </li>
  <li>
   Ability to work in a fast-paced environment and manage multiple tasks.
  </li>
  <li>
   Relevant certifications (e.g., CFE, CFCA) are a plus.
  </li>
 </ul>
</div>


Zepto Systems Limited

<p>Join our team and use your data skills to protect against cyber threats.</p><p>We're hiring a <b>Data Analyst</b> to be a key player in our fraud detection and cybersecurity efforts.</p><p><b>The Role: </b></p><ul><li>Analyze large datasets to detect fraud patterns &amp; anomalies.</li><li>Build ML models and algorithms for our anti-fraud solutions.</li><li>Collaborate with cybersecurity and development teams.</li><li>Create dashboards and reports in Tableau/Power BI.</li><li>Drive improvements through data-driven insights.</li></ul><p><b>We're Looking For: </b></p><ul><li>Experience in Data Analysis (fraud/cybersecurity is a plus!).</li><li>Skills in: <b>Python | R | SQL </b>(SAS is a bonus).</li><li>Knowledge of stats, predictive modeling, and ML.</li><li>Experience with visualization tools (Tableau, Power BI).</li><li>Strong problem-solving and communication skills</li></ul><p><b>Great Benefits: </b></p><ul><li>Competitive Salary + Medical Allowance</li><li>Professional Training</li><li>Team Activities (Cricket, Dinners &amp; more!)</li><li>Hybrid Work Model</li></ul><p>Job Type: Full-time</p><p>Pay: Rs150,000.00 - Rs200,000.00 per month</p><p>Work Location: In person</p>

Data Analyst - Fight Fraud with Data! (Hybrid - Rawalpindi)

<p><b>Job Description</b></p><p>We are seeking a <b>Data Analyst</b> to join our team and play a key role in detecting and preventing fraudulent activities. You will analyze and interpret large datasets to uncover patterns, anomalies, and trends that support the development of advanced anti-fraud solutions. This is an excellent opportunity to make a meaningful impact in the cybersecurity space and help protect clients from online threats.</p><p><b>Responsibilities</b></p><ul><li>Perform in-depth data analysis to detect patterns and anomalies related to fraud.</li><li>Develop and implement statistical models, algorithms, and data mining techniques.</li><li>Collaborate with cross-functional teams, including developers, cybersecurity experts, and product managers.</li><li>Conduct data cleansing, preprocessing, and validation to ensure accuracy.</li><li>Create reports and visualizations to communicate findings to technical and non-technical stakeholders.</li><li>Monitor and evaluate anti-fraud solutions, suggesting improvements based on data-driven insights.</li><li>Stay updated with the latest trends and best practices in data analysis and fraud detection.</li><li>Assist in designing and implementing data collection processes and tools.</li></ul><p><b>Requirements</b></p><ul><li>Proven experience as a <b>Data Analyst</b> or similar role, preferably in <b>cybersecurity or fraud detection</b>.</li><li>Proficiency in <b>Python, R, SQL, and/or SAS</b>.</li><li>Strong grasp of <b>statistical analysis, predictive modeling, and machine learning algorithms</b>.</li><li>Hands-on experience with visualization tools like <b>Tableau, Power BI, or matplotlib</b>.</li><li>Familiarity with <b>MySQL, PostgreSQL, Cassandra</b>, and distributed systems such as <b>Hadoop, Spark, or Elasticsearch</b>.</li><li>Strong problem-solving, analytical thinking, and communication skills.</li><li>Ability to manage multiple priorities in a fast-paced environment.</li></ul><p><b>Education</b></p><ul><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Information Technology, or Software Engineering.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs300,000.00 per month</p><p>Work Location: On the road</p>

Data Analyst (Fraud Detection / Cybersecurity)

Tamara

<p>Tamara s ambition is to become the region s favorite way to pay for what we call life s little essentials   a new way of purchasing designed for and around our customers  interests. We believe that great design has the ability to engage and inspire. </p>
<p>The Credit Analyst is a crucial member of our Fraud Management team, dedicated to mitigating fraud risks in customer interactions. You will play a vital role in protecting our customers and merchants from financial loss by employing your investigative skills and expertise in data analysis to identify and mitigate suspicious transactions. In this role, you'll be working closely with a cross-functional team consisting of policy managers, operations, product, data scientists, and others.<br> <br> </p>
<p><strong>Your responsibilities:</strong></p>
<ul>
<li>Monitor and analyze all Tamara s transactions:</li>
<ul>
<li>Utilize fraud detection software and tools to identify potential fraud cases based on risk scoring, anomaly detection, and behavioral analysis.</li>
<li>Review flagged transactions in detail, conducting thorough investigations to confirm or dispel suspicions.</li>
<li>Analyze patterns and trends in fraudulent activity to develop and refine fraud prevention strategies.</li>
</ul>
<li>Execute on Data analytics:</li>
<ul>
<li>Extract insights (via SQL/Python) from the large volumes of data and come up with new strategies to mitigate/stop fraudulent activities</li>
<li>Work independently on fraud analytics, and the analysis of large datasets to ensure appropriate feedback is given to the model.</li>
</ul>
<li>Implement Preventative measures:</li>
<ul>
<li>Implement and update fraud prevention policies and procedures within the BNPL platform.</li>
<li>Develop and recommend proactive measures to mitigate future fraud risks with product teams.</li>
<li>Collaborate with other departments to raise awareness of fraud risks and best practices.</li>
</ul>
<li>Communication and reporting:</li>
<ul>
<li>Clearly communicate complex fraud findings and recommendations to stakeholders at all levels.</li>
<li>Prepare regular reports on fraud activity trends and prevention efforts.</li>
<li>Present findings and insights to management teams and key decision-makers.</li>
<li>Mentor and show the ropes to our more junior colleagues.</li>
</ul>
</ul>
<p> </p>
<p><strong>Your expertise:</strong> <strong> <br> <br> </strong> </p>
<ul>
<li>Bachelor's degree or equivalent, with a minimum of 3 years of experience in fraud management, ideally in an e-commerce environment, demonstrating a strong focus on product and customer experience. Alternatively we are looking for seasoned data analysts with at least 4 years of experience with a deep interest in stopping the  baddies .</li>
<li>Proven ability to develop and implement fraud rules, with a keen interest in continuous improvement of processes,customer/merchant experiences.</li>
<li>Technical proficiency in SQL, Python/R and Excel (at least 2 years of experience) with experience in fraud scorecard development and a plus for experience with machine learning in fraud detection</li>
<li>Self-motivated and responsive, especially during peak periods of fraud activity with a curiosity and willingness to learn and apply emerging trends in fraud management</li>
<li>Strong problem-solving skills, including the ability to stay calm under pressure, excellent negotiation abilities and a talent for multitasking</li>
<li>Comfortable challenging the status quo to innovate and push for advanced, effective solutions in fraud management </li>
</ul>

Credit Analyst

Paytm

<div><div><div><b>About Us:
</b></div><div>Headquartered in Noida, India, Paytm Insurance Broking Private Limited (PIBPL), a wholly owned subsidiary of One97 Communications (OCL) is an online insurance market place, that offers insurance products across all leading insurance companies, with products across auto, life and health insurance and provide policy management and claim services for our customers.<br>
</div><div></div><br>
<div><b>Role Overview:</b></div><div>
We are seeking an experienced Risk Analyst with a strong background in fraud detection, payment system analysis, and regulatory reporting to join our team. The ideal candidate is adept at handling large datasets, building analytical dashboards, and implementing models to mitigate risk.</div><div></div><div><br>
Responsibilities:</div><div>
The primary responsibilities for this role will include:
</div><div>Risk Mitigation &amp; Fraud Detection
</div><ul><li>Implement and monitor fraud detection and anomaly models for effective risk mitigation.
</li><li>Monitor and analyze transaction patterns to improve payment success rates and user experience.
</li><li>Conduct transaction monitoring &amp; auditing to ensure accuracy, compliance, and quality.
</li><li>Perform Root Cause Analysis on transaction issues and recommend process improvements to address recurring problems. Data Analysis &amp; Reporting
</li><li>Extract and integrate data from diverse payment and internal systems, ensuring data consistency and accuracy.
</li><li>Utilize SQL for data extraction, validation, and in-depth analysis of transaction patterns.
</li><li>Build and maintain analytical dashboards using tools like Power BI and Tableau for key metrics, including transaction volume, fraud rates, QA performance, error trends, and compliance metrics.
</li><li>Perform log analysis to troubleshoot transaction failures and ensure smooth payment flow.
</li><li>Interpret and analyze business data using statistical techniques. Operations &amp; Technical Skills
</li><li>Automate acquiring rule setups and merchant workflows, ideally using Python and internal tools.
</li><li>Manage system processes, perform data task automation (e.g., via SAS Management Console), and provide backup/recovery planning.
</li><li>Comfortable working with Linux/UNIX environments and managing UNIX-based systems.
</li><li>Utilize Salesforce for tracking and JIRA for task management and team collaboration.<br>
</li></ul><div></div><br>
<div><b>Required Qualifications:
</b></div><div>Experience: 5+ years of experience in Fraud Detection, Risk Analytics, or Data Analysis, preferably within the finance or payments sectors.<br>
</div><div></div><br>
<div><b>Technical Skills:
</b></div><ul><li>Expert proficiency in SQL, Excel, Power BI (or Tableau), and strong familiarity with Python.
</li><li>Education: MBA in IT/Finance preferred.
</li><li>Certifications: BASE SAS and/or Tableau Certification is a plus.
</li><li>Soft Skills: Proven ability to collaborate cross-functionally with product and engineering teams to deliver data-driven insights.</li></ul></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

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