fraud analyst

Toast

<div>
 Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
 
 
 The Fraud Operations Team at Toast works to prevent fraud for Toast, our customers, and our guests. The team is responsible for fraud prevention across our Fintech suite, from access controls to transaction monitoring. As a
 
 Fraud Analyst
 
 , you will be responsible for reviewing customer accounts with identified suspicious or unusual activity and determining if escalation or reporting is necessary. They will be the front line in defending against fraud and will be expected to provide high-quality operational feedback to the Fraud and Risk Team and other stakeholders to improve Toast&rsquo;s overall fraud program.
 
 
 
 
 Work location:
 
 
 
 Bangalore (Hybrid - 2 days in a week at office)
 
 
 
 
 
 Work Timings:
 
 
 
 Open to work in rotational shifts 24X7 shifts (including night shifts) and flexible to work on Weekends (mandatory)
 
 
 
 
 
 About this roll*
 
 
 
 (Responsibilities)
 
 
 
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 Monitor fraud queues to eliminate the fraud risk from customer accounts and ensure risky transactions are prevented.
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 Conduct thorough investigations using internal tools to detect fraudulent activity.
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 Review chargeback data to identify meaningful and fraudulent patterns.
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 Deliver a best-in-class, truly delightful experience to Toast restaurants and prospects through successful communication (both written and verbal).
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 Provide insights on fraud trends for different Toast fintech products.
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 Discuss and work on escalations to provide the best solutions for customers.
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 Suggest and implement improvements to existing fraud SOPs and methodologies.
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 Provide insights to Data Analyst, Product, and Engineering Teams to improve existing fraud tools and procedures.
 
 
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 </ul>
 
 
 Do you have the right ingredients*?
 
 
 
 (Requirements)
 
 
 
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 Any graduate with 1 to 2 years of experience in an Analyst-level role in a Fraud and Risk environment;
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 Curiosity and strong investigative skills, the ability to form a narrative around large sets of data, and the ability to identify fraud patterns/trends.
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 Ability to work effectively in a dynamic, changing environment and adapt while focusing on key goals and objectives with minimal oversight.
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 Excellent problem-solving and interpersonal skills.
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 Customer-focused with excellent written and verbal communication skills.
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 Must be highly motivated and able to work within tight deadlines.
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 Ability to work in flexible work environments and 24/7 shifts. Candidates must be flexible to work on weekends (Mandatory)
 
 
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 </ul>
 
 AI at Toast
 
 
 
 At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it&rsquo;s a core part of our culture.
 
 
 
 Our Total Rewards Philosophy
 
 
 
 We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters&rsquo; changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.
 
 
 
 How Toast Uses AI In Its Hiring Process
 
 
 
 Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people.
 
 
 
 
 Diversity, Equity, and Inclusion is Baked into our Recipe for Success
 
 
 
 
 At Toast, our employees are our secret ingredient&mdash;when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
 
 
 
 We Thrive Together
 
 
 
 We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
 
 
 
 Apply today!
 
 
 
 Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
 
 
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 For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
</div>

Fraud Analyst

Starzen

Role PurposeThe Fraud Officer will be responsible for safeguarding all revenue streams by detecting, investigating, and preventing telecom fraud. The role ensures revenue protection, regulatory compliance, and preservation of brand reputation and customer trust.Key Responsibilities<ul><li>Respond to alerts generated by Fraud Management systems, exception reports, system logs, customer complaints, and whistleblower reports</li><li>Monitor system access controls across key platforms such as HSS, SDP, AIR, VS, CRM, Billing, ERP, MPLS</li><li>Evaluate new products, services, and system changes to assess fraud risks prior to launch</li><li>Review and monitor audit logs and provisioning platforms to ensure proper audit trails</li><li>Segregate fraud cases from bad debt scenarios</li><li>Fine-tune Fraud Management systems and controls for improved accuracy</li><li>Develop and execute PLSQL queries for monitoring and control validation</li><li>Analyze anomalies, identify root causes, and implement corrective actions</li><li>Provide internal control recommendations to prevent revenue leakage</li><li>Coordinate with Billing, Credit Control, Provisioning, Sales, Contact Center, Switching, and other business units</li><li>Prepare reports and present findings within defined timelines</li><li>Report identified fraud incidents in the Incident Tracking System</li><li>Work in a 24x7 shift environment</li></ul>Key Performance Indicators<ul><li>Effective risk identification and control development</li><li>Timely detection and resolution of fraud cases</li><li>Quality and timeliness of reporting</li><li>Identification of cost-saving opportunities</li><li>Compliance with regulatory and audit standards</li><li>Required Experience and Qualifications</li><li>6&ndash;7 years of experience in Telecom Fraud Management</li><li>Strong knowledge of telecom SOPs, products, fraud scenarios, and risk management</li><li>Expertise in telecom OSS/BSS systems including MSS, IN nodes (HXC, CCN, SDP VS), HSS, PGW, SGW, GGSN, DSL, PSTN, SMSC, mediation and billing systems</li><li>Experience operating major Fraud Management systems</li><li>Strong proficiency in SQL, MS Excel, and MS Access</li><li>Bachelor&rsquo;s degree in Finance, Engineering, or related field</li><li>CFE certification is an advantage</li></ul>Skills<ul><li>Technical Skills:</li><li>Telecom OSS/BSS expertise</li><li>Fraud detection and investigation</li><li>SQL and data analysis</li><li>Mediation and billing systems knowledge</li><li>Behavioral Skills:</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and presentation abilities</li><li>Ability to work cross-functionally</li><li>Strong planning and organizational skills</li></ul>Job Type: Full-timePay: ₹800,000.00 - ₹1,400,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul>Work Location: In person

inDriver

<div><div><div>Drive in-app fraud prevention through data-driven strategy, advanced analytics, and proactive threat detection. Combine deep technical expertise in Python, SQL, and mobile security tools to uncover fraud patterns and deliver scalable solutions with measurable impact</div></div></div>
 <div><div><div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Lead the development and execution of in-app anti-fraud strategy, addressing threats such as GPS spoofing, bots, SMS flooding, and loyalty program abuse</li><li>
Research and design effective fraud detection and blocking patterns to counter emerging threats</li><li>
Perform deep data analysis to identify fraud trends and proactively surface new prevention opportunities</li><li>
Build and refine KPIs, dashboards, and analytical tools to monitor and assess in-app fraud risks</li><li>
Investigate anomalies in key metrics, generate hypotheses, and deliver actionable insights to cross-functional stakeholders</li></ul>
<h2 class="jobSectionHeader">Skills, Knowledge and Expertise</h2>
<ul><li>3+ years of experience in anti-fraud, risk analysis, or a similar function</li><li>
Hands-on experience with mobile security technologies such as Play Integrity and Apple Device Check</li><li>
Strong analytical and critical thinking skills, with the ability to prioritize solutions based on impact and resource efficiency</li><li>
Proficiency in Python and relevant data analysis libraries (e.g., pandas, NumPy)</li><li>
Advanced SQL skills, including working with large datasets and building analytical data marts</li><li>
Experience with BI tools such as Plotly, Redash, or Tableau</li></ul> 
<div></div>
<h2 class="jobSectionHeader">
Conditions &amp; Benefits</h2>
<ul><li>Stable salary, official employment</li><li>
Health insurance</li><li>
Hybrid work mode and flexible schedule</li><li>
Relocation package offered for candidates from other regions</li><li>
Access to professional counseling services including psychological, financial, and legal support</li><li>
Discount club membership</li><li>
Diverse internal training programs</li><li>
Partially or fully paid additional training courses</li><li>
All necessary work equipment</li></ul></div></div></div></div></div>

Anti-Fraud Analyst

<div>Avant de postuler &agrave; un emploi, s&eacute;lectionnez votre langue de pr&eacute;f&eacute;rence parmi les options disponibles en haut &agrave; droite de cette page.
D&eacute;couvrez votre prochaine opportunit&eacute; au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunit&eacute;s innovantes, d&eacute;couvrez notre culture enrichissante et travaillez avec des &eacute;quipes talentueuses qui vous poussent &agrave; vous d&eacute;velopper chaque jour. Nous savons ce qu&rsquo;il faut faire pour diriger UPS vers l'avenir : des personnes passionn&eacute;es dot&eacute;es d&rsquo;une combinaison unique de comp&eacute;tences. Si vous avez les qualit&eacute;s, de la motivation, de l'autonomie ou le leadership pour diriger des &eacute;quipes, il existe des postes adapt&eacute;s &agrave; vos aspirations et &agrave; vos comp&eacute;tences d'aujourd'hui et de demain.
Fiche de poste :
INTERNAL JOB POSTINGS &amp; CAREER DEVELOPMENT OPPORTUNITIES-
GBS Fraud Analyst - Grade 8
Night shifts (5 days&rsquo; working, Monday to Friday) &ndash; 6.00 pm to 3.00 am IST.
JOB DESCRIPTION
Summary:
The GBS Fraud Analyst supports the Corporate Fraud Mitigation Team as the central contact for the field to request assistance in the mitigation of fraudulent situations. He/She coordinates solutions across required groups (Corporate Security, GBS, Operations, BD, etc.). The GBS Fraud Analyst educates the field and customers on appropriate processes that supports fraud prevention and performs various tasks within the department as it relates to implementation and communication of fraud related applications.
Responsibilities and Duties:<ul><li>
Monitors, measures, and communicates fraud exposure, and potential risks to minimize fraud.</li><li>
Reviewing, responding and taking action on customer inquiries for Fraud.</li><li>
Monitors and investigates suspicious use of UPS products, processes, and services.</li><li>
Assess registration for suspicious fraudulent activity including cancelling user IDs, approving adjustments and other credit activities to prevent additional losses.</li><li>
Work with all levels of management, both internal and external toward resolution.</li><li>
Interface with customers.</li><li>
Documents and communicates customer needs and frustrations, as related to implementation of UPS fraud solutions.</li></ul>
Knowledge and Skills:<ul><li>
Fluency in English is essential both written and verbal, English comprehension.</li><li>
2+ years of Customer Service, Credit Collection or Billing experience &ndash; Preferred.</li><li>
Understanding of general finance and accounting practices: Billing, A/R, customer profile software applications etc.</li><li>
Fraud related investigation and conflict management skills is an advantage.</li><li>
Good analytical skills with an aptitude for problem solving.</li><li>
Attention to detail.</li><li>
Effective listening and communication skills.</li><li>
Good customer relationship skills.</li><li>
Knowledge of general operational processes and systems: IVP, On Demand, QWS.</li><li>
Understanding of the pickup and delivery process.</li><li>
Ability to manage conflict with customers and fraudsters.</li><li>
Proficient knowledge and use of Microsoft applications (Access, Excel, Word, etc.).</li><li>
Effective time management skills, flexibility and ability to adapt to change.</li><li>
Self-starter with ability to multitask and work independently under pressure.</li></ul> 
Type de contrat:
en CDI
Chez UPS, &eacute;galit&eacute; des chances, traitement &eacute;quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attach&eacute;s.</div>

GBS Fraud Analyst - Grade 8

Nextcare

<div>
 
 
 Key Responsibilities
 
 /What You Do
 
 
 
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 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
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 Analyze claims data to identify unusual patterns and potential fraud indicators.
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 Support the Fraud Analysts throughout the Fraud Process (Identification, Investigation, Corrective Actions)
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 Conduct thorough investigations into suspicious claims, including interviewing claimants and gathering relevant documentation.
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 Utilize advanced analytics and fraud detection tools to enhance fraud detection capabilities.
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 Perform detailed data analysis to uncover trends and anomalies indicative of fraudulent activities.
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 Prepare comprehensive reports on findings, including actionable recommendations.
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 Participate in cross-functional teams to develop and implement fraud prevention strategies.
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 Ensure all fraud detection and investigation activities comply with internal policies, external regulations, and industry standards.
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 Maintain accurate and detailed records of investigations and outcomes.
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 Prepare and present fraud reports to senior management and stakeholders.
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 Identify opportunities to enhance fraud detection and prevention processes.
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 Stay current with industry trends, emerging threats, and new technologies in fraud prevention.
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 Provide training and guidance to junior fraud analysts and other staff on fraud detection techniques and best practices.
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 Mentor team members, fostering a culture of vigilance and proactive fraud prevention.
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 Take part in other projects when required, review documentation and contribute where applicable, research information relating to your area and provide feedback.
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 Other Ad hoc duties as required
 
 
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 </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>
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 Bachelor&rsquo;s degree in any Medical field, Finance, Business Administration, Insurance, or a related field preferred.
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 At least 5 years&rsquo; experience in analysing and assessing medical claims of high values and complexities
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 With proven track record in Fraud mitigation
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 Strong ability to communicate effectively with various audiences and all levels of the organisation
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 Proficiency in MS Office (in particular in Excel, Power BI, PowerPoint)
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 Excellent level of written and verbal English is essential.
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 High level of solution orientation &amp; decision making
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 Have obtained or be working towards 1 or more of the following:
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 Fraud (eg ACFE
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 Medical Qualification
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 Data Analytics
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 International Medical Coding
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 Legally permitted to work in the country of operations.
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 Hybrid working option available as per business requirements.
 
 
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 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

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)

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

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4006 fraud analyst jobs Near Me

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