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fraud analyst

Fraud Analyst

Tabby | تابي

<div>
 <strong>
  Department:
 </strong>
 Risk B2C
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 KSA
 <br/>
 <br/>
 <strong>
  Reporting To:
 </strong>
 Abdulrahman Alobaidan
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Anti-Fraud Associate
 </strong>
 is responsible for detecting, investigating, and preventing fraudulent activities by monitoring transactions, analyzing data, and ensuring adherence to anti-fraud policies.
 <br/>
 <br/>
 This role works closely with internal teams to mitigate fraud risks and protect the organization&rsquo;s assets and reputation.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Monitoring Transactions
  </li>
  <li>
   Analyze customer transactions and account activities to identify unusual patterns and potential fraudulent behavior.
  </li>
  <li>
   Investigation and Reporting
  </li>
  <li>
   Investigate flagged transactions and escalate suspicious activities as needed.
  </li>
  <li>
   Prepare detailed reports for management and document findings.
  </li>
  <li>
   Maintain case files and provide evidence to support further action if necessary.
  </li>
  <li>
   Data Analysis
  </li>
  <li>
   Use fraud detection systems and analytical tools to monitor data and identify potential risks.
  </li>
  <li>
   Detect fraud trends and recommend process improvements to prevent future occurrences.
  </li>
  <li>
   Collaboration
  </li>
  <li>
   Work with cross-functional teams, including Customer Service, Compliance, and Legal, to resolve fraud-related issues effectively.
  </li>
  <li>
   Policy Adherence
  </li>
  <li>
   Ensure compliance with anti-fraud policies, relevant regulations, and industry standards.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Skills, Knowledge &amp; Expertise
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Finance, Business, Data Analytics, or a related field.
  </li>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   Familiarity with fraud detection tools and software.
  </li>
  <li>
   Knowledge of financial systems, payment methods, and fraud risk management.
  </li>
  <li>
   Excellent communication and reporting skills.
  </li>
  <li>
   At least 1 to 2 years of experience in anti-fraud.
  </li>
 </ul>
</div>


Anti-Fraud Associate

Tabby

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
The <b>Anti-Fraud Associate</b> is responsible for detecting, investigating, and preventing fraudulent activities by monitoring transactions, analyzing data, and ensuring adherence to anti-fraud policies.<br>
<br>
This role works closely with internal teams to mitigate fraud risks and protect the organization&rsquo;s assets and reputation.</div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><div><br>
1. <b>Monitoring Transactions</b>
</div><ul><li>Analyze customer transactions and account activities to identify unusual patterns and potential fraudulent behavior.</li></ul><div>
2. <b>Investigation and Reporting</b>
</div><ul><li>Investigate flagged transactions and escalate suspicious activities as needed.</li>
<li>Prepare detailed reports for management and document findings.</li>
<li>Maintain case files and provide evidence to support further action if necessary.</li>
</ul><div>
<br>
3. <b>Data Analysis</b><br>
</div><ul><li>Use fraud detection systems and analytical tools to monitor data and identify potential risks.</li>
<li>Detect fraud trends and recommend process improvements to prevent future occurrences.</li>
</ul><div>4. <b>Collaboration</b>
</div><ul><li>Work with cross-functional teams, including Customer Service, Compliance, and Legal, to resolve fraud-related issues effectively.</li></ul><div>
5. <b>Policy Adherence</b>
</div><ul><li>Ensure compliance with anti-fraud policies, relevant regulations, and industry standards.</li></ul><h3 class="jobSectionHeader"><b><br>
Skills, Knowledge &amp; Expertise</b></h3><br>
<ul>
<li>
Bachelor&rsquo;s degree in <b>Finance</b>, <b>Business</b>, <b>Data Analytics</b>, or a related field.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Familiarity with fraud detection tools and software.</li>
<li>Knowledge of financial systems, payment methods, and fraud risk management.</li>
<li>Excellent communication and reporting skills.</li>
<li>At least 1 to 2 years of experience in <b>anti-fraud.</b></li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About Tabby</b></h3><div>
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.<br>
<br>
The company&rsquo;s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.<br>
<br>
Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.<br>
<br>
Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.</div></div>

Tap Payments

<div><p><b>About Tap</b></p><p>
Tap Payments is revolutionizing online payments across the MENA region by connecting businesses with simple, unified payment experiences. We need exceptional talent to help us on this journey.</p><p><b><br>
The Compliance Team</b></p><p></p><p><br>
Our compliance team believes merchant payments should be ultra-safe and secure. That's why they work hand-in-hand with regulators throughout MENA. It may sound all tree-huggy, but nothing is more important than creating a safe transaction environment for our global merchants. If you share similar beliefs, this might be the team for you</p><p></p><p><b><br>
As a Tapster you will:</b></p><ul>
<li>
 Supports the fraud specialists reviewing alerts and reports to identify suspicious activity, as the point of escalation..</li>
<li>Analyzes fraud trends and makes recommendations for fraud prevention processes.</li>
<li>Uses a variety of tools, systems and reports to detect fraud trends.</li>
<li>Review accounts and transactions for potential fraud.</li>
<li>Work closely with the wider fraud team and onboarding/activations teams to implement recommendations.</li>
<li>Work closely with the Fraud Manager on improvements to the fraud review process.</li>
<li>Manage a team of reports and is responsible for scheduling, regular check-ins, and mid-year/year-end reviews.</li>
<li>Communicate frequently with the Fraud Manager</li>
<li>Assist management and internal teams with ad hoc requests and additional fraud reviews as needed.</li>
<li>Ensure compliance with anti-money laundering, including KYC requirements and sanction regulations.</li>
<li>Carry out other duties, as assigned based on the demands of the business and growth of the role</li></ul><p><br>
<br>
<b>What you will bring to the party:</b></p><ul>
<li>
 2-4 years of role-specific experience with an understanding of Fintech</li>
<li>Preferred degree, but real-world experience is also accepted</li>
<li>Ability to build credibility and develop client/merchant/stakeholder relationships</li>
<li>Ability to articulate support and meet client requirements</li>
<li>Growth mindset and solution-driven approach</li>
<li>Strong interpersonal skills and ability to lead small engagements</li>
<li>Effective prioritization and organization of work</li>
<li>High productivity and innovation focus</li>
<li>Excellent communication skills in English, with a preference for Arabic language ability</li></ul><p><br>
<br>
<b>Are you ready to shape the future of payments in MENA?</b></p></div>

Fraud Prevention Consultant

Tweeq

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
The <b>Anti-Fraud Associate</b> is responsible for detecting, investigating, and preventing fraudulent activities by monitoring transactions, analyzing data, and ensuring adherence to anti-fraud policies.<br>
<br>
This role works closely with internal teams to mitigate fraud risks and protect the organization&rsquo;s assets and reputation.</div><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><div><br>
1. <b>Monitoring Transactions</b>
</div><ul><li>Analyze customer transactions and account activities to identify unusual patterns and potential fraudulent behavior.</li></ul><div>
2. <b>Investigation and Reporting</b>
</div><ul><li>Investigate flagged transactions and escalate suspicious activities as needed.</li>
<li>Prepare detailed reports for management and document findings.</li>
<li>Maintain case files and provide evidence to support further action if necessary.</li>
</ul><div>
<br>
3. <b>Data Analysis</b><br>
</div><ul><li>Use fraud detection systems and analytical tools to monitor data and identify potential risks.</li>
<li>Detect fraud trends and recommend process improvements to prevent future occurrences.</li>
</ul><div>4. <b>Collaboration</b>
</div><ul><li>Work with cross-functional teams, including Customer Service, Compliance, and Legal, to resolve fraud-related issues effectively.</li></ul><div>
5. <b>Policy Adherence</b>
</div><ul><li>Ensure compliance with anti-fraud policies, relevant regulations, and industry standards.</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Skills, Knowledge &amp; Expertise</b></h3><br>
<ul>
<li>
Bachelor&rsquo;s degree in <b>Finance</b>, <b>Business</b>, <b>Data Analytics</b>, or a related field.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Familiarity with fraud detection tools and software.</li>
<li>Knowledge of financial systems, payment methods, and fraud risk management.</li>
<li>Excellent communication and reporting skills.</li>
<li>Experience in <b>anti-fraud</b>, <b>risk management</b>, or a related field (preferred).</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
About Tweeq</b></h3><div>
<b>Tweeq</b> is a Saudi fintech on a mission to reshape how people manage their money. Now part of Tabby, the largest BNPL provider in the Middle East, we&rsquo;re building the next generation of financial products for the Kingdom. From payments to everyday money management, our goal is to make financial services faster, smarter and more accessible for everyone in Saudi Arabia.</div></div>

Parsons Corporation

<div>
 In a world of possibilities, pursue one with endless opportunities. Imagine Next!
 <br/>
 <br/>
 At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Parsons is looking for an amazingly talented
 <strong>
  Senior Data Analyst (Financial Data &amp; Automation Analyst )
 </strong>
 to join our team! In this role you will get to automate reporting, analyze AR and unbilled data, and deliver real-time insights.
 <br/>
 <br/>
 <strong>
  What You'll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Automating &amp; developing real-time dashboards and performance data models (Power BI / Excel)
  </li>
  <li>
   Performing deep dive analysis on AR and unbilled positions
  </li>
  <li>
   Extracting, structuring, and validating large financial datasets
  </li>
  <li>
   Tracking aging, DSO, and collection performance indicators
  </li>
  <li>
   Producing precise insights for leadership reviews and decisions
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Required Skills You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Finance or related field
  </li>
  <li>
   Minimum 8 years of experience
  </li>
  <li>
   Strong financial data analysis capability
  </li>
  <li>
   Advanced Excel proficiency (Power Query, advanced formulas, data models)
  </li>
  <li>
   Power BI development experience (visuals, measures, DAX)
  </li>
  <li>
   Ability to build automated reporting workflows and dashboards
  </li>
  <li>
   Hands on experience cleaning, transforming, and validating large datasets
  </li>
  <li>
   Understanding of AR, unbilled, aging, and DSO metrics
  </li>
  <li>
   Familiarity with ETL logic and structured data handling
  </li>
  <li>
   High accuracy, fast execution, and strong problem solving mindset
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
 <br/>
 <br/>
 We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!
 <br/>
 <br/>
 Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.
</div>


Senior Data Analyst (Financial Data & Automation Analyst )

Amazon

<p>Amazon's Account Integrity team (AIT) within the Selling Partner Support organization is looking for a senior leader for the Risk Mining team based out of India. The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Stopping bad actors improves our ability to stop downstream fraud and abuse. The role of the Risk Mining team is to detect and quickly mitigate unique patterns of bad actor activity.</p> Responsibilities <ol><li>Provide leadership direction to Risk specialists and Risk analysts in managing day to day activities of bad actor detection</li><li>Develop and help drive the execution of the Risk Mining analyst charter based out of the IN location</li><li>Navigate an ever-changing risk environment and focus on developing long term strategic charter and balance it with very short term initiatives</li><li>Provide high severity event support for Risk Mining WW</li><li>Start a new charter for incorporating downstream signals from Fraud and Abuse teams for improving AIT efficiency in detection of bad actor traffic. Consequently, improve downstream signal sharing with Abuse and Fraud teams for improved detection of bad actor activity during a transaction</li><li>Lead and manage talent reviews for the direct team. Also should be able to drive the talent review for the entire Risk Mining and Operations org as per roster</li><li>Write quarterly business reviews (and monthly business reviews) that are reviewed at leadership level</li><li>Expected to be a strong process expert themselves and be able to operate as an Individual contributor during highly complex bad actor attacks, deep dives etc.</li></ol> A day in the life <ol><li>Manage day to day issues of the team in terms of team health and satisfaction, unblock any administrative or data issues with stakeholder teams. Includes weekly 1:1s and performance management.</li><li>Monitor and regulate high performance from the Risk Mining team</li><li>Lead and be available for meetings with US and CR stakeholders teams</li><li>Handover in progress work with clear templates</li><li>Work on projects - via meetings, mental model or output documents, workshops, internal dive deeps.</li><li>Lead GenAI initiatives for the Risk Mining team</li></ol> About the team <p>Our team consists of Risk Analysts and Risk Specialists that roll up to the Account integrity Machine Learning Team. We evaluate instances of organized bad actor account take over and creation of fraudulent accounts on Amazon. We collaborate closely across multiple functions in order to mitigate these attacks through various short and long term solutions. The team is located across the world and in multiple time zones that enable working round the clock.</p> Basic Qualifications <ul><li>Bachelor's degree</li><li>Minimum of 5 years of relevant industry experience in risk or fraud investigations, risk management, ecommerce, analytics</li><li>Minimum 3 years experience leading at least a small to medium size fast moving team</li><li>Strong management skills with a proven track record of building and grooming a top performing team</li><li>Experience developing and implementing a strategic, forward looking vision for an organization</li><li>Able to drive cross functional projects</li><li>Basic SQL and intermediate to advanced Excel. Ability to develop and maintain queries and basic models. Should be able to execute complex analysis independently.</li><li>Basic understanding of Gen AI concepts and application</li></ul> Preferred Qualifications <ul><li>Masters Degree or an MBA from a Tier I/II school</li><li>PMP certification</li><li>General understanding of AI/ML principles and applications</li></ul><p>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.</p><p><b>Our equal opportunity policy</b> Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.</p>

Manager II, Risk Mining, Account Integrity

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266 fraud analyst jobs IN Riyadh

Fraud Analyst

Anti-Fraud Associate

Anti-Fraud Associate

Fraud Prevention Consultant

Anti-Fraud Associate

Senior Data Analyst (Financial Data & Automation Analyst )

Manager II, Risk Mining, Account Integrity