fraud detection specialist

Halan - حالا

<div>
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Bachelor&rsquo;s degree in Business, Finance, Information Systems, or a related field.
 
 
 
 
 - 1&ndash;2 years of experience in fraud risk management, risk, or financial services (consumer finance
 
 
 
 
 experience is preferred).
 
 
 
 
 -Strong analytical and investigative skills.
 
 
 
 
 - Excellent command in English Language with strong written and verbal communication skills.
 
 
 
 
 - Strong analytical skills with experience in fraud detection tools, rule-based monitoring systems,
 
 
 
 
 and data analysis (Excel/SQL preferred).
 
 
 
 
 
 
 
 Key responsibilities:
 
 
 
 
 - Verify customer's documents in order to detect and prevent any forgery and fraud incidents.
 
 
 
 
 - Monitor transactions and review the fraud alerts daily and take necessary actions to protect
 
 
 
 
 customers and company portfolio from unauthorized
 
 
 
 
 transactions and fraudulent accounts.
 
 
 
 
 - Verify activities and awareness raising campaign through outbound calls to customers to no be
 
 
 
 
 victim of any fraud types.
 
 
 
 
 - Work closely with other departments to share information and coordinate efforts in fraud
 
 
 
 
 prevention and investigation.
 
 
 
 
 -Utilize data analysis techniques to identify trends, patterns, and use insights to detect the
 
 
 
 
 uncover fraud and comply with the fraud detection strategies.
 
 
 
 
 - Document all fraud activities including investigation findings, action taken, and outcomes and
 
 
 
 
 prepare reports for senior management.
 
 
 
 
 - Conduct any other tasks that related to fraud risk management and assigned by the fraud risk
 
 
 
 
 senior management.
 
 
</div>

Fraud Risk Analyst

Nextcare

<div>
 
 
 Key Responsibilities
 
 /What You Do
 
 
 
 <ul>
 <li>
 Represent the Global Claims Risk Unit as a Fraud Management Subject Matter Expert(SME) for cross functional activities, Client Updates, New Business Solutions and Auditing
 </li>
 <li>
 Analyze claims data to identify unusual patterns and potential fraud indicators.
 </li>
 <li>
 Support the Fraud Analysts throughout the Fraud Process (Identification, Investigation, Corrective Actions)
 </li>
 <li>
 Conduct thorough investigations into suspicious claims, including interviewing claimants and gathering relevant documentation.
 </li>
 <li>
 Utilize advanced analytics and fraud detection tools to enhance fraud detection capabilities.
 </li>
 <li>
 Perform detailed data analysis to uncover trends and anomalies indicative of fraudulent activities.
 </li>
 <li>
 Prepare comprehensive reports on findings, including actionable recommendations.
 </li>
 <li>
 Participate in cross-functional teams to develop and implement fraud prevention strategies.
 </li>
 <li>
 Ensure all fraud detection and investigation activities comply with internal policies, external regulations, and industry standards.
 </li>
 <li>
 Maintain accurate and detailed records of investigations and outcomes.
 </li>
 <li>
 Prepare and present fraud reports to senior management and stakeholders.
 </li>
 <li>
 Identify opportunities to enhance fraud detection and prevention processes.
 </li>
 <li>
 Stay current with industry trends, emerging threats, and new technologies in fraud prevention.
 </li>
 <li>
 Provide training and guidance to junior fraud analysts and other staff on fraud detection techniques and best practices.
 </li>
 <li>
 Mentor team members, fostering a culture of vigilance and proactive fraud prevention.
 </li>
 <li>
 Take part in other projects when required, review documentation and contribute where applicable, research information relating to your area and provide feedback.
 </li>
 <li>
 Other Ad hoc duties as required
 
 
 </li>
 </ul>
 
 AI READINESS
 
 Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use
 
 
 
 Key Requirements/What You Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in any Medical field, Finance, Business Administration, Insurance, or a related field preferred.
 </li>
 <li>
 At least 5 years&rsquo; experience in analysing and assessing medical claims of high values and complexities
 </li>
 <li>
 With proven track record in Fraud mitigation
 </li>
 <li>
 Strong ability to communicate effectively with various audiences and all levels of the organisation
 </li>
 <li>
 Proficiency in MS Office (in particular in Excel, Power BI, PowerPoint)
 </li>
 <li>
 Excellent level of written and verbal English is essential.
 </li>
 <li>
 High level of solution orientation &amp; decision making
 </li>
 <li>
 Have obtained or be working towards 1 or more of the following:
 </li>
 <li>
 Fraud (eg ACFE
 </li>
 <li>
 Medical Qualification
 </li>
 <li>
 Data Analytics
 </li>
 <li>
 International Medical Coding
 </li>
 <li>
 Legally permitted to work in the country of operations.
 </li>
 <li>
 Hybrid working option available as per business requirements.
 
 
 </li>
 </ul>
 
 How we hire
 
 Allianz Partners does not accept unsolicited CV&rsquo;s or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.
 
 
 
 Key Benefits/What We Offer
 
 
 
 Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions that span international health and life, travel insurance, automotive and assistance. Customer driven, our innovative experts are redefining insurance services by delivering future-ready, high-tech high-touch products and solutions that go beyond traditional insurance.
 
 
 Our products are embedded seamlessly into our partners&rsquo; businesses or sold directly to customers and are available through four commercial brands: Allianz Assistance, Allianz Automotive, Allianz Travel and Allianz Care. Present in 75 countries, our 21,100 employees speak 70 languages, handle over 71 million cases each year, and are motivated to go the extra mile to offer peace of mind to our customers around the world.
 
 
 We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in.
 
 
 We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.
 
 
 At Allianz Partners, AI is revolutionizing customer service and claims management through innovative solutions. These AI-driven tools enhance productivity by streamlining complex claims processes, reducing administrative burdens, and accelerating resolution times. Our AI-powered technology has made claims processing faster, offering quicker resolutions. All while ensuring human oversight for claims to maintain service integrity. By embracing AI and Emerging Technologies, Allianz Partners continues to lead the industry, meeting ever-changing customer needs with innovative solutions. Our commitment to Ethical AI practices safeguards data integrity and trust, ensuring responsible deployment across all operations. This approach not only enhances customer experiences but also supports strategic initiatives like fraud detection and personalized product offerings, solidifying Allianz Partners' position as a leader in the insurance sector.
 
 
 Great to have you on board. Let's care for tomorrow.
</div>

Senior Fraud Analyst

Visa

<div>
 
 Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Consulting Expertise:
 
 
 
 <ul>
 <li>
 Drives client acceptance by leveraging relationships and strategies that align with Risk Solution Services goals, automation, and retention objectives
 </li>
 <li>
 Regularly discusses and pursues client goals, demonstrating an understanding in clients&rsquo; evolving business strategies
 </li>
 <li>
 Continually builds rapport with clients and the Visa account teams to promote retention and stay ahead of competitive risk
 </li>
 <li>
 Anticipates fluctuations and proactively identifies anomalies with business relationships
 </li>
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 Is an early adopter of complementary Visa products and offerings and is proactive in learning how to leverage updates and enhancements for Visa and client success
 </li>
 <li>
 Advocates productively on behalf of the client about product feedback and enhancement requests
 </li>
 </ul>
 
 Analysis:
 
 
 
 <ul>
 <li>
 Uses Business Intelligence tools to continually highlight client return on investment, aligning acceptance and fraud KPIs with Risk Solution Services objectives
 </li>
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 Efficiently adheres to clients' contractual reporting requirements
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 Contributes to the continual enhancement of analytical tools
 </li>
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 Works with BI team to enhance current and future reporting capabilities
 </li>
 </ul>
 
 &ZeroWidthSpace;&ZeroWidthSpace;Solutions Delivery:
 
 
 
 <ul>
 <li>
 Optimizes client acceptance through increased automation, the use of machine-learning models, efficient use of manual review, and reduced reliance on rules
 </li>
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 Maintains working knowledge of Visa and partner integrations, order and technical flow, and support resources
 </li>
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 Participates in projects and events that advance Risk Solution Services and Visa success
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 Identifies and influences clients and internal business partners to explore Risk Solution Services and complementary Visa product offerings
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 Remains proficient in Visa and partner integrations, order and technical flow, and support resources
 </li>
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 Understands how client strategies and risk configurations potentially impact Visa revenue
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 Evangelizes the value of Risk Solution Services and Managed Services by participating in pre-sale and proof of concept engagements
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 Embodies industry best practices
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 Manages projects or processes and provides guidance to colleague
 </li>
 </ul>
 
 &ZeroWidthSpace;Communication and Presentation Skills:
 
 
 
 <ul>
 <li>
 Communicates independently, professionally, succinctly, and with relevance based on audience and topic
 </li>
 <li>
 Collaborates consistently with internal partners on the status of portfolio
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 Shares efficiencies and best practices with colleagues
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 Provides appropriate detail and can confidently communicate at the executive level
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 Influences others within Risk Solution Services regarding practices, procedures, and policies
 </li>
 </ul>
 
 Industry Knowledge
 
 
 
 <ul>
 <li>
 Builds industry knowledge through internal and external resources
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 Proactively discusses industry trends and innovations and educates clients on the basics of how payment ecosystems work
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 <li>
 Understands regional risk regulations
 </li>
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 Remains current on global competitive landscape
 </li>
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 Confidently consults clients on how payment ecosystems work
 </li>
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 Uses knowledge of competitive landscape to shape solutions delivery
 </li>
 </ul>
 
 This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. &ZeroWidthSpace;
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 Basic Qualifications:
 
 
 
 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
 
 
 Bachelor&rsquo;s degree in finance, business, economics, statistics, computer science, or a related field.
 
 
 
 
 
 Fraud Risk Expertise:
 
 
 
 Demonstrated experience in payment risk mitigation, fraud detection strategy optimization, and fraud analytics across banking, payments, or financial services.
 
 
 Hands-on experience with fraud detection systems, rule management, and real-time transaction monitoring (e.g., SAS Fraud Management, FICO Falcon, VRM, VCAS).
 
 
 Proficient in SQL, Python, Java, or similar programming languages, with a focus on data analysis, machine learning, and algorithm development.
 
 
 Skilled in using BI tools (Power BI, SAP BO, QlikView, Excel) for fraud data analysis and reporting.
 
 
 Experience mining and managing large, diverse datasets.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Consultant - Risk Managed Services

Atlanticus Services Corporation

<div>Location: Atlanta 
Type: Full-time 
Level: Senior Analyst<h3 class="jobSectionHeader">
Role overview</h3>
We&rsquo;re looking for an Application Fraud Analyst to detect, investigate, and prevent fraud at the point of application/onboarding, with a strong emphasis on identity fraud. You&rsquo;ll use SQL and Python or SAS to build analyses, identify emerging fraud patterns, optimize rules and strategies, and communicate actionable insights to cross-functional partners.<h3 class="jobSectionHeader">
What you&rsquo;ll do</h3><ul><li>
Monitor and analyze application/onboarding activity to identify fraud patterns, anomalies, and emerging attack vectors (synthetic ID, identity theft, first-party fraud, ATO indicators).</li><li>
Perform end-to-end investigations: develop hypotheses, pull and join data via SQL, and validate findings using Python/SAS analysis.</li><li>
Build and maintain fraud analytics (dashboards, metrics, performance monitoring) to measure fraud rates, approval impacts, and operational outcomes.</li><li>
Recommend and implement strategy changes (rules, thresholds, segmentation, policy updates) that balance risk control with customer experience and growth.</li><li>
Partner closely with underwriting, operations, product, engineering, and compliance to operationalize fraud controls and improve workflows.</li><li>
Create clear written summaries and present findings to leadership&mdash;translating complex analytics into decisions and next steps.</li><li>
Support experimentation (A/B tests, challenger strategies), post-implementation monitoring, and ongoing tuning.</li></ul><h3 class="jobSectionHeader">
Required qualifications</h3><ul><li>
Strong analytical thinking with the ability to structure ambiguous problems and drive to clear decisions.</li><li>
Advanced SQL skills (complex joins, window functions, aggregations, query optimization).</li><li>
Proficiency in Python or SAS for data analysis and automation (e.g., pandas/NumPy or SAS procedures/macros).</li><li>
Excellent communication skills (written and verbal), including the ability to explain risk tradeoffs to both technical and non-technical audiences.</li><li>
Experience investigating fraud, risk, or identity-related anomalies using data and case evidence.</li><li>
Bachelor&rsquo;s degree in a quantitative field (or equivalent practical experience).</li></ul><h3 class="jobSectionHeader">
Preferred qualifications (Ideal candidate)</h3><ul><li>
Direct experience in identity fraud / application fraud (e.g., synthetic identity, identity theft, document/IDV signals, device/email/phone risk, bureau/alt-data patterns).</li><li>
Experience with fraud tools and signals: device intelligence, email/phone reputation, IP/proxy/VPN indicators, behavioral signals, document verification, watchlists/KYC.</li><li>
Familiarity with model/rule performance monitoring (precision/recall, approval rate, loss rate, drift, stability, calibration).</li><li>
Experience working with large datasets in cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and BI tools (Power BI/Tableau) is a plus.</li></ul><h3 class="jobSectionHeader">
What success looks like</h3><ul><li>
Detect and mitigate new fraud patterns quickly with data-backed strategy recommendations.</li><li>
Improve fraud loss outcomes while protecting legitimate approvals and customer experience.</li><li>
Deliver high-quality, well-documented analyses and clear executive-ready narratives.</li><li>
Build scalable SQL/Python/SAS workflows that reduce manual effort and speed up decisioning.</li></ul></div>

Application Fraud Analyst (Identity Fraud Focus)

WHealth International

<ul><li>Monitor and detect potential fraud, waste, and abuse in claims and policy transactions</li><li>Review suspicious claims, billing patterns, and documentation discrepancies</li><li>Conduct investigations and prepare detailed reports with findings and recommendations</li><li>Coordinate with Claims, Underwriting, Compliance, and Legal teams for case resolution</li><li>Ensure compliance with regulatory and internal FWA policies</li><li>Maintain FWA incident records and submit periodic reports to management</li><li>Support internal audits and regulatory inspections</li><li>Conduct awareness sessions to promote fraud prevention practices</li></ul>Job Types: Full-time, PermanentPay: AED5,000.00 - AED10,000.00 per month

FWA Officer

Takamol Holding

<div>
 
 Job Description
 
 
 
 We are seeking a highly analytical and detail-oriented Data Analysis Senior Specialist to join our Advanced Analyitcs unit. The role focuses on fraud detection analytics, risk pattern identification, and delivering actionable insights that support data-driven decision-making.
 
 
 The successful candidate will work closely with internal teams and external stakeholders to analyze complex datasets, detect anomalies, develop monitoring frameworks, and produce high-quality reports and insights.
 
 
 This role requires strong analytical thinking, business acumen, and the ability to translate complex data findings into clear, impactful communication.
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to identify fraud patterns, anomalies, and risk indicators
 </li>
 <li>
 Develop and maintain fraud detection reports, dashboards, and monitoring frameworks
 </li>
 <li>
 Support the design and refinement of detection logic, thresholds, and analytical models
 </li>
 <li>
 Perform deep-dive investigations on suspicious behaviors and emerging patterns
 </li>
 <li>
 Translate analytical findings into clear, structured insights and executive-ready reports
 </li>
 <li>
 Collaborate with cross-functional teams to improve detection accuracy and reduce false positives
 </li>
 <li>
 Present findings and recommendations to internal stakeholders and external clients
 </li>
 <li>
 Contribute to continuous improvement of analytics processes, data quality, and reporting standards
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 4&ndash;6 years of experience in data analysis, fraud analytics, risk analytics, or related fields
 </li>
 <li>
 Experience working with large datasets in structured environments
 
 
 </li>
 </ul>
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Strong SQL skills (data extraction, aggregation, joins, window functions)
 </li>
 <li>
 Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.)
 </li>
 <li>
 Proficiency in Excel for analytical tasks
 </li>
 <li>
 Experience with Python or R for data analysis is a plus
 </li>
 <li>
 Understanding of anomaly detection, risk metrics, or fraud analytics concepts is preferred
 
 
 </li>
 </ul>
 
 
 Core Competencies
 
 
 
 
 <ul>
 <li>
 Strong analytical and critical thinking skills
 </li>
 <li>
 High attention to detail and data accuracy
 </li>
 <li>
 Ability to structure ambiguous problems into measurable analytical approaches
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Ability to present technical insights in a clear, business-friendly manner
 </li>
 <li>
 Proactive mindset with a continuous improvement attitude
 </li>
 </ul>
</div>

Data Analysis Senior Specialist

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6475 fraud detection specialist jobs Near Me

Fraud Risk Analyst

Fraud Risk Analyst

Senior Fraud Analyst

Consultant - Risk Managed Services

Application Fraud Analyst (Identity Fraud Focus)

FWA Officer

Data Analysis Senior Specialist