fraud detection analyst

Daraz

<div>
 <ul>
 <li>
 Fraud Case Investigation &amp; Resolution: Conduct thorough post-transaction reviews of suspected fraud cases (e.g., account takeover, identity misuse, payment disputes); document findings, escalate when needed, and resolve cases within SLA.
 </li>
 <li>
 Strategy &amp; Alert Collaboration: Monitor and triage alerts from fraud detection systems; assist senior analysts in testing new rules or model thresholds under guidance, and provide actionable feedback on false positives/negatives to improve detection accuracy.
 </li>
 <li>
 Fraud Pattern Analysis: Analyze case-level data using basic SQL or visualization tools to identify emerging fraud trends and propose hypotheses for rule enhancements to the strategy team.
 </li>
 <li>
 Data Collection &amp; Reporting: Extract, summarize, and report on key fraud metrics&mdash;including loss patterns, alert volumes, and operational bottlenecks&mdash;through dashboards or scheduled reports.
 </li>
 <li>
 Process Adherence &amp; Compliance: Follow standardized investigation protocols, maintain audit-ready case documentation, and support internal or regulatory compliance requests.
 </li>
 <li>
 Cross-functional Coordination: Partner with Strategy, Product, and Tech teams to validate edge cases, test rule changes, and share frontline insights from case reviews.
 </li>
 <li>
 User &amp; Partner Communication: Liaise with customers, banks, or payment partners to collect evidence, facilitate dispute resolution, and explain fraud decisions clearly and professionally.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 Must have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Business, Economics, Computer Science, or a related field.
 </li>
 <li>
 3+ years of experience in fraud operations, or payment risk management within fintech, banking, or e-commerce; experience in Pakistan or other emerging markets (e.g., SEA, MENA) is a plus.
 </li>
 <li>
 Basic data literacy: able to write simple SQL queries or use dashboards (e.g., Tableau, Power BI) to extract and interpret case-level fraud data.
 </li>
 <li>
 Familiarity with common payment methods, especially in PK (e.g., mobile wallets like JazzCash/EasyPaisa, card networks, bank transfers) and awareness of fraud typologies (e.g., account takeover, identity fraud, stolen card).
 </li>
 <li>
 Strong attention to detail, process discipline, and ability to manage high-volume casework under SLA pressure. Experience working in fast-paced, high-growth digital financial services environments.
 </li>
 <li>
 Clear written and verbal communication skills in English; Optional regional languages (Chinese/Mandarin) a distinct advantage.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Demonstrated curiosity about fraud strategy: e.g., has proposed process improvements, participated in antifraud strategy implementation, or analyzed false positive trends.
 </li>
 <li>
 Exposure to fraud detection tools or rule engines (e.g., Sift, internal risk systems) &mdash; even through training or limited hands-on use.
 </li>
 </ul>
</div>

Fraud Risk Analyst-Risk & Security

Alibaba

<div><div>Basic Infomation<div><div><div>
Department:
Daraz</div><div>
Degree:
Bachelor</div><div>
Work Experience:
3 year</div></div></div></div><div>
Job Description<div> Fraud Case Investigation &amp; Resolution: Conduct thorough post-transaction reviews of suspected fraud cases (e.g., account takeover, identity misuse, payment disputes); document findings, escalate when needed, and resolve cases within SLA.
 Strategy &amp; Alert Collaboration: Monitor and triage alerts from fraud detection systems; assist senior analysts in testing new rules or model thresholds under guidance, and provide actionable feedback on false positives/negatives to improve detection accuracy.
 Fraud Pattern Analysis: Analyze case-level data using basic SQL or visualization tools to identify emerging fraud trends and propose hypotheses for rule enhancements to the strategy team.
 Data Collection &amp; Reporting: Extract, summarize, and report on key fraud metrics&mdash;including loss patterns, alert volumes, and operational bottlenecks&mdash;through dashboards or scheduled reports.
 Process Adherence &amp; Compliance: Follow standardized investigation protocols, maintain audit-ready case documentation, and support internal or regulatory compliance requests.
 Cross-functional Coordination: Partner with Strategy, Product, and Tech teams to validate edge cases, test rule changes, and share frontline insights from case reviews.
 User &amp; Partner Communication: Liaise with customers, banks, or payment partners to collect evidence, facilitate dispute resolution, and explain fraud decisions clearly and professionally.</div></div><div>
Position Requirement<div>
Must have:
 Bachelor&rsquo;s degree in Finance, Business, Economics, Computer Science, or a related field.
 3+ years of experience in fraud operations, or payment risk management within fintech, banking, or e-commerce; experience in Pakistan or other emerging markets (e.g., SEA, MENA) is a plus.
 Basic data literacy: able to write simple SQL queries or use dashboards (e.g., Tableau, Power BI) to extract and interpret case-level fraud data.
 Familiarity with common payment methods, especially in PK (e.g., mobile wallets like JazzCash/EasyPaisa, card networks, bank transfers) and awareness of fraud typologies (e.g., account takeover, identity fraud, stolen card).
 Strong attention to detail, process discipline, and ability to manage high-volume casework under SLA pressure. Experience working in fast-paced, high-growth digital financial services environments.
 Clear written and verbal communication skills in English; Optional regional languages (Chinese/Mandarin) a distinct advantage.
Preferred
 Demonstrated curiosity about fraud strategy: e.g., has proposed process improvements, participated in antifraud strategy implementation, or analyzed false positive trends.
 Exposure to fraud detection tools or rule engines (e.g., Sift, internal risk systems) &mdash; even through training or limited hands-on use.</div></div></div>

Daraz PK-Fraud Risk Analyst-Risk & Security

Capitex

<div>Job Title: Data Scientist &ndash; Fraud Analytics
Location: Kuwait 
Contract Type: 12-Month Fixed-Term Contract
Role Overview
We are seeking a highly analytical and experienced Data Scientist &ndash; Fraud Analytics to join our team on a 12-month contract in Kuwait. The successful candidate will be responsible for developing, enhancing, and optimising fraud detection models and analytics strategies across digital and payment channels.
This role will focus on leveraging advanced analytics, machine learning, and statistical techniques to strengthen fraud detection capabilities, reduce losses, and improve customer experience by minimising false positives.
Key Responsibilities<ul><li>
Develop, validate, and deploy fraud detection models across digital banking and payment systems.
</li><li>Perform advanced data analysis to identify fraud patterns, emerging threats, and behavioural anomalies.
</li><li>Optimise existing fraud detection strategies through model tuning and performance monitoring.
</li><li>Conduct feature engineering and model performance evaluation using appropriate metrics (e.g., precision, recall, AUC, false positive rate).
</li><li>Collaborate with fraud risk, rule writing, and technology teams to translate analytical insights into actionable controls.
</li><li>Support model governance processes including documentation, validation, and regulatory compliance requirements.
</li><li>Analyse large datasets to uncover trends and recommend improvements to fraud prevention strategies.
</li><li>Assist with model implementation, testing (UAT), and post-deployment performance monitoring.
</li><li>Stay current with emerging fraud typologies and advancements in machine learning techniques.
</li></ul>Required Skills &amp; Experience<ul><li>
Proven experience in fraud analytics and model development within banking, fintech, or financial services.
</li><li>Strong knowledge of machine learning techniques (e.g., logistic regression, decision trees, random forests, gradient boosting, neural networks).
</li><li>Hands-on experience with Python, R, or similar analytical programming languages.
</li><li>Strong SQL skills and experience working with large transactional datasets.
</li><li>Understanding of fraud typologies including account takeover, card-not-present fraud, mule accounts, and social engineering.
</li><li>Experience with model performance monitoring and optimisation.
</li><li>Strong analytical thinking and problem-solving skills.
</li></ul>Preferred Qualifications<ul><li>
Experience working within Middle Eastern financial institutions is advantageous.
</li><li>Knowledge of fraud platforms such as FICO, Actimize, Feedzai, Featurespace, or similar is desirable.
</li><li>Familiarity with model risk management and regulatory expectations.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.
</li></ul>What We Offer<ul><li>
Competitive contract package.
</li><li>Opportunity to work on high-impact fraud analytics initiatives.</li></ul></div>

Data Scientist - Fraud Analytics

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Support the development of fraud detection, AML, and Generative AI use cases.
 </li>
 <li>
 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
 </li>
 <li>
 Prepare, clean, and analyze structured and unstructured data.
 </li>
 <li>
 Support the training, evaluation, and deployment of ML models.
 </li>
 <li>
 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
 </li>
 <li>
 Execute assigned tasks within project plans under supervision.
 </li>
 <li>
 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in data science or analytics.
 </li>
 <li>
 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
 </li>
 <li>
 Proficiency in SQL and Python.
 </li>
 <li>
 Experience with data extraction, cleaning, and basic visualization.
 </li>
 <li>
 Familiarity with model evaluation and feature engineering concepts.
 </li>
 <li>
 Proficiency in English; Arabic is a plus.
 </li>
 <li>
 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. 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>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist I

PayPal

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
Partner with fraud fighting teams to optimize existing detection models and unlock deeper insights from fraud data to enhance decision-making capabilities. Analyze model performance, identify improvement opportunities, and translate complex data patterns into actionable intelligence that helps fraud investigators better understand emerging threats and customer behaviors. Focus on maximizing the effectiveness of current fraud detection infrastructure while providing analytical support that empowers fraud teams to make more informed, data-driven decisions.
Job Description:
Essential Responsibilities:
<ul><li>Lead and manage data science projects, ensuring timely delivery and alignment with business goals.</li><li>
Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.</li><li>
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.</li><li>
Collaborate with cross-functional teams to understand data needs and provide actionable insights.</li><li>
Ensure data quality and integrity through regular audits and validation processes.</li><li>
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul>
Expected Qualifications:<ul><li>
5+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><div><div><div><div><div><div><div><div><div><div><div>
Additional Responsibilities &amp; Preferred Qualifications:</div></div></div></div></div></div></div></div></div></div></div>
Preferred Qualifications:<ul><li>
Experience in financial services, payments, or fraud prevention environments with understanding of fraud attack vectors, regulatory requirements, and industry best practices</li><li>
Proven track record of working collaboratively with cross-functional business teams to translate complex analytical findings into actionable insights and strategic recommendations</li></ul>
Subsidiary:
PayPal
Travel Percent:
0<ul><li></li></ul>
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
Chicago, Illinois | ($160,500.00 - $238,700.00 Annually)
Additional Location(s) | Pay Range:
No other locations are assigned to this requisition currently.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are: 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</div>

Staff Data Scientist

Bandwidth Inc.

<div>
 
 
 Who We Are:
 
 
 
 
 Bandwidth
 
 , a prior &ldquo;Best of EC&rdquo; award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support.&nbsp;Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!
 
 
 At Bandwidth, your music matters when you are part of the BAND. &nbsp;We celebrate differences and encourage BANDmates to be their authentic selves. &nbsp;#jointheband
 
 
 
 What We Are Looking For:
 
 
 
 As the Summer 2026
 
 Fraud Analyst Intern
 
 with Bandwidth Fraud Mitigation team, you will assist with stopping fraud and unwanted traffic across Bandwidth&rsquo;s Network. Being a part of this team, you will understand how we monitor our network for fraudulent and unwanted activity, how we look for new patterns, and how we stop fraudsters in their tracks.
 
 
 
 What You'll Do:
 
 
 <ul>
 <li>
 Assist with data analysis to improve Bandwidth&rsquo;s ability to detect and stop fraudulent and unwanted traffic.
 </li>
 <li>
 Create and improve automation to alert our Fraud Analysts of potentially fraudulent traffic.
 </li>
 <li>
 Assist in drafting requirements for new tools, methods, and visualizations to improve Fraud Mitigation efficiency.
 </li>
 <li>
 Understand how to detect patterns and find fraudulent anomalies.
 </li>
 </ul>
 
 
 What You Need:
 
 
 <ul>
 <li>
 Working towards a Bachelors or graduate degree in Computer Science, Statistics, Analytics, or other fraud fighting course of study
 </li>
 <li>
 Interest in preventing, detecting, and stopping fraud and unwanted activities.
 </li>
 <li>
 Experience with analytics methods to identify trends, statistical significance, and anomalies.&nbsp;
 </li>
 <li>
 Comfort working large datasets.&nbsp;
 </li>
 <li>
 Experience using a business intelligence application such as Sigma, Domo, Tableau, or PowerBI to show trends, and present insights that meaningfully help make decisions.
 </li>
 </ul>
 
 
 Bonus Points:
 
 
 <ul>
 <li>
 Python, or other programming/scripting, experience for manipulating large datasets.
 </li>
 <li>
 SQL / Snowflake Experience
 </li>
 <li>
 Experience in fraud identification/investigation.
 </li>
 </ul>
 
 
 The Whole Person Promise:
 
 
 
 At Bandwidth, we&rsquo;re pretty proud of our corporate culture, which is rooted in our &ldquo;Whole Person Promise.&rdquo; We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well&hellip;
 
 
 Are you ready for an awesome internship experience? At Bandwidth we&rsquo;re all about making your time with us fun and fulfilling! Take a break with our 90-minute workout lunch to energize your day, or roll up your sleeves for some cool volunteer activities that give back to our community. You'll also get to meet and connect with our leaders who can share their wisdom and advice. And let&rsquo;s not forget the fun social activities to bond with your fellow interns!
 
 
 Join us for a summer full of learning, laughter, and new experiences&mdash;let&rsquo;s make some great memories together!
 
 
 &nbsp;
 
 
 Are you excited about the position and its responsibilities, but not sure if you&rsquo;re 100% qualified? Do you feel you can work to help us crush the mission? If you answered &lsquo;yes&rsquo; to both of these questions, we encourage you to apply! You won&rsquo;t want to miss the opportunity to be a part of the BAND.
 
 
 Applicant Privacy Notice
 
 
 &nbsp;
 
 
 &nbsp;&nbsp;
 
</div>

Fraud Data Analyst Intern - Summer 2026

<div>Requirements 
 
Job Title: Senior Fraud Analyst
Location: Kuwait 
Contract Type: 12-Month Fixed-Term Contract
Role Overview
We are seeking experienced Senior Fraud Analysts to join our team on a 12-month contract in Kuwait. The successful candidates will be responsible for fraud monitoring, alert review, investigation, and case management across banking products and digital channels.
This role plays a key part in identifying, investigating, and mitigating fraud risks while ensuring a strong balance between fraud prevention and customer experience.
Key Responsibilities<ul><li>
Monitor fraud detection systems and review alerts across cards, digital banking, payments, and account activities.
</li><li>Conduct detailed investigations into suspicious transactions and potential fraud cases.
</li><li>Analyse customer behaviour, transactional data, and supporting evidence to determine fraud risk.
</li><li>Take appropriate action including customer contact, account restriction, escalation, or case closure.
</li><li>Document investigations thoroughly in line with internal policies and regulatory requirements.
</li><li>Escalate complex or high-risk cases to management and relevant stakeholders where required.
</li><li>Identify emerging fraud trends and provide feedback to rule writing and fraud strategy teams.
</li><li>Support law enforcement requests and internal audit requirements where applicable.
</li><li>Maintain service level agreements (SLAs) and productivity targets.
</li></ul>Required Skills &amp; Experience<ul><li>
Proven experience in fraud monitoring and investigation within a banking or financial services environment.
</li><li>Strong understanding of fraud typologies including card fraud, account takeover, social engineering, and mule accounts.
</li><li>Experience working with fraud detection and case management systems.
</li><li>Strong analytical and decision-making skills.
</li><li>Ability to handle sensitive situations and communicate effectively with customers when required.
</li><li>Strong documentation and reporting skills.
</li><li>Ability to work in a fast-paced environment and manage high alert volumes.
</li></ul>Preferred Qualifications<ul><li>
Experience within Middle Eastern financial institutions is advantageous.
</li><li>Knowledge of regulatory and compliance frameworks relevant to fraud risk.
</li><li>Professional certifications in fraud or financial crime (e.g., ACFE, ICA) are desirable.
</li><li>Bachelor&rsquo;s degree in Finance, Business, Risk, or related discipline.
</li></ul>What We Offer<ul><li>
Competitive contract package.
</li><li>Opportunity to work within a dynamic banking fraud environment.
</li><li>Exposure to a broad range of fraud risk scenarios and cross-functional collaboration.</li></ul></div>

Senior Fraud Analyst

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