fraud risk analyst

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

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for Fraud Monitoring Analyst(Risk Management) for our Bahrain operations with the following skillsets &amp; terms and conditions:
 Experience : 0-2 Years 
Education
 Accounting/ Banking &amp; finance/ Economic/ Fraud/ etc
 Job responsibilities
Monitor constantly customer&rsquo;s transactional records to identify unauthorized transactions and fraudulent accounts based on the alerts generated in the fraud management system. 
Action Alerts on assigned queue as per service level agreement to reduce potential losses. 
Handle/ Resolve incoming fraud reporting from customer as per service level agreement to reduce potential losses. 
understanding on various fraud type &amp; Responsibility of taking up role in Fraud Monitoring 
ability to communicate in Arabic and English with customer &amp; Fraud Risk Management on the Fraud findings. 
willingness to work 24/7 shift role 
 
Terms and conditions
Joining time frame: (15 - 30 days)</div>

Fraud Monitoring Analyst(Risk Management) - Banking

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)

HALA

<div>
 
 
 Who Are We
 
 
 
 
 HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.
 
 
 
 HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.
 
 
 
 Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank.
 
 
 &nbsp;
 
 
 Requirements:
 
 
 
 Education
 
 
 
 Bachelor Degree in Law, Finance, Business Administration or equivalent fields of studies
 
 
 The education levels can be replaced by years of experience
 
 
 
 Experience
 
 
 
 Zero (0) to Three (3) years of experience in a similar role
 
 
 
 Skills
 
 
 
 
 &nbsp;&nbsp;
 
 
 
 Computer Skills: Proficient in Microsoft Office Tools
 
 
 Languages: Fluent in English and Arabic
 
 
 knowledge of Anti fraud regulations
 
 
 
 Core Competencies
 
 
 
 Self-Actualization &amp; Fulfilment: Proficiency Level &ndash; INTERMEDIATE
 
 
 Team Synergy &amp; Development: Proficiency Level - INTERMEDIATE
 
 
 Entrepreneurial Mindset &amp; Drive: Proficiency Level &ndash; INTERMEDIATE
 
 
 Business Acumen &amp; Diligence: Proficiency Level - INTERMEDIATE
 
 
 
 &nbsp;
 
 
 
 &nbsp;
 
 
 Tasks &amp; Responsibilities:
 
 <ul>
 <li>
 Define, implement the standards and align it with identified risks from fraud risks assessment (using sampling methodology)
 </li>
 <li>
 Conduct the fraud risk assessment and document actions required to close gaps identified
 </li>
 <li>
 Analyze existing and emerging threats, and share the same with relevant stakeholders
 </li>
 <li>
 Implement anti-fraud subunits&rsquo; recommendations (coming from Governance, Prevention, Detection &amp; Response)
 </li>
 <li>
 Coordinate with Technology, Product and Process owners to ensure required changes are implemented as per the intended design (Validation)
 </li>
 <li>
 Monitor systems activities and prepare daily, weekly and/or monthly reports identifying trends and or potential fraud activities.
 </li>
 <li>
 Conduct daily 24/7 monitoring of fraud alerts generated through company systems
 </li>
 <li>
 Carry out transaction review and validation as may be appropriate to mitigate fraud risk.
 </li>
 <li>
 Proactively scrutinize identified system transactions for likely fraud indicators and/ or pointers to computer-based frauds.
 </li>
 <li>
 Intelligence gathering on frauds and provision of monthly updates.
 </li>
 <li>
 Contribute in the review of fraud risk assessments, scenario
 </li>
 <li>
 analyze new products and services or change initiative assessments
 </li>
 <li>
 Track unresolved items to provide a record of activities and support identification of fraud trends or persistent issues
 </li>
 <li>
 prepare anti fraud report
 </li>
 <li>
 Recommend changes to the fraud detection system parameters to optimize fraud prevention and detection
 </li>
 <li>
 Maintain records and escalate non-compliance matters
 </li>
 <li>
 Review and Update the Fraud Risk Register
 </li>
 <li>
 Reporting the periodic reports to the relevant regulators
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 What We Offer You
 
 
 
 We believe you will love working at HALA!
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
 </li>
 <li>
 We offer highly competitive compensation packages, including the potential for shares.
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
 </li>
 <li>
 You will be given a lot of responsibility and trust.&nbsp;We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 </ul>
 &nbsp;
 
 If you think you have what it takes to join a remarkable team #apply_now&nbsp;
 
 
 &nbsp;
 
</div>

Anti-Fraud Officer

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>
 <li>
 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>
 <li>
 Efficiently adheres to clients' contractual reporting requirements
 </li>
 <li>
 Contributes to the continual enhancement of analytical tools
 </li>
 <li>
 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>
 <li>
 Maintains working knowledge of Visa and partner integrations, order and technical flow, and support resources
 </li>
 <li>
 Participates in projects and events that advance Risk Solution Services and Visa success
 </li>
 <li>
 Identifies and influences clients and internal business partners to explore Risk Solution Services and complementary Visa product offerings
 </li>
 <li>
 Remains proficient in Visa and partner integrations, order and technical flow, and support resources
 </li>
 <li>
 Understands how client strategies and risk configurations potentially impact Visa revenue
 </li>
 <li>
 Evangelizes the value of Risk Solution Services and Managed Services by participating in pre-sale and proof of concept engagements
 </li>
 <li>
 Embodies industry best practices
 </li>
 <li>
 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
 </li>
 <li>
 Shares efficiencies and best practices with colleagues
 </li>
 <li>
 Provides appropriate detail and can confidently communicate at the executive level
 </li>
 <li>
 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
 </li>
 <li>
 Proactively discusses industry trends and innovations and educates clients on the basics of how payment ecosystems work
 </li>
 <li>
 Understands regional risk regulations
 </li>
 <li>
 Remains current on global competitive landscape
 </li>
 <li>
 Confidently consults clients on how payment ecosystems work
 </li>
 <li>
 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

<div>
 This role is primarily responsible to ensure risk &amp; compliance to Operational / Process Controls, Service Delivery, Fraud Risk Assessment, Client Contracts and Organizational Policies and Procedures in client area.
</div>

Associate - Business Analyst-Compliance-Line Compliance

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