51 Fraud Analytics Jobs

Greeting from KVC CONSULTANTS LTD Hiring for Leading ITES Company In Gurgaon for FRAUD INVESTIGATION SPECIALIST. Key Highlights: 1: Graduate with min 3 year experience in FRAUD INVESTIGATION 2: Salary upto 6 LPA 3: 24x7 Shifts 4: 5 Days Working 5: Both Side Cabs 6: Excellent Communication Skills 7: Immediate Joiners Preferred As a Fraud Investigation Specialist, the individual will act as a primary point of contact for customers impacted by fraudulent activity. Identify and monitor suspicious activities and potential fraud based on customer interactions and behavioral patterns. Conduct thorough investigations into reported fraud cases, ensuring timely and accurate resolution . KINDLY CALL OR DM -- WITH RESUME RIYA - 9628373761 SIMRAN - 9821182647 Key Responsibilities: Provide clear communication and reassurance to customers throughout the investigation process. Educate customers on fraud prevention techniques and secure financial practices. Collaborate with internal teams and external agencies to identify fraud patterns and strengthen prevention strategies. Document investigation findings and prepare detailed reports in compliance with company policies and financial regulations. Resolve customer complaints and queries within defined service levels and quality standards. Meet and exceed performance metrics including call quality, resolution time, and customer satisfaction scores.

Risk Analytics - Manager/Senior Manager - Risk Operations LocationNoida, Uttar Pradesh DepartmentOperations & Support Risk Operations-Offline Payments Employment TypeFull-time Employment Work EnvironmentOn-site : Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: This team involves in making a difference. A lot of contingency and new challenges are encouraged within the team to do stuff that is meaningful for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the employees, and that's how it will always be change management in Social Media. Why join us If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story! About the Role: As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities across our payment platforms. Reporting to the Senior Manager Fraud Analytics, you will be responsible for building and maintaining fraud detection models, configuring rules, and supporting control-related projects. You will also collaborate with other teams such as Risk ops, Product, and Engineering to ensure that the organizations risk controls are both effective and scalable. Key Responsibilities: Develop and refine fraud detection models, leveraging both rule-based and data-driven approaches to prevent and mitigate fraud risks. Monitor real-time transaction data for suspicious activity, escalating concerns and providing recommendations for corrective action. Assist in the configuration of fraud detection rules within the transaction monitoring system, ensuring accuracy and minimal false positives. Analyze fraud trends and transaction patterns to proactively address potential vulnerabilities and emerging fraud schemes. Collaborate with cross-functional teams, including Risk, Compliance, and Product, to ensure fraud risk mitigation strategies are aligned with business objectives. Support fraud-related control projects, from planning through to execution, ensuring compliance with RBI regulations and internal risk frameworks. Assist in preparing fraud risk reports for senior management, outlining key insights, emerging trends, and actionable recommendations. Work closely with the Senior Manager to ensure regulatory requirements are met, including adherence to RBI and other regulatory standards. Continuously improve fraud monitoring tools and techniques, suggesting enhancements to improve fraud detection accuracy and efficiency. Participate in regulatory audits and assist in responding to fraud-related queries from authorities. Qualifications: A bachelors degree in Data Analytics, Statistics, Risk Management, or a related field is preferred. 4-8 years of experience in fraud analytics, risk management, or a related role within the fintech or payments industry. Strong understanding of fraud detection techniques, including rule-based systems and data-driven models. Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms. Familiarity with RBI guidelines and other regulatory frameworks governing payment companies in India. Strong analytical and problem-solving skills, with the ability to identify trends and make data-driven decisions. Excellent communication skills, with the ability to present insights and findings clearly to both technical and non-technical audiences. Experience working in a high-volume transaction environment, such as a payments gateway, mobile wallet, or UPI system. Preferred Skills: Knowledge of machine learning models for fraud detection.Experience working with fraud detection systems in the fintech space, especially in a licensed TPAP setup. Familiarity with compliance and audit requirements in a regulated financial environment. Why Join Us: We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our peoples collective energy and unwavering focus on the customers, and thats how it will always be. We are the largest merchant acquirer in India. Compensation: If you are the right fit, we believe in creating wealth for you. With enviable 500 mn registered users, 21 mn merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. Indias largest digital lending story is brewing here. Its your opportunity to be a part of the story!

Job Title: Fraud Analyst Experience : Looking for Freshers to 3 Years (Preferably Male candidates) Salary 2 to 2.25 LPA Work Location: Chennai (Navalur), Work from office Shift and Week off: Rotational shift and rotational week off Who we are? CES is an information technology consulting and process outsourcing services company, which helps its customers with information technology services / solutions and streamlining their business process by leveraging our expertise and domain knowledge in various technologies such as Microsoft, Java, LAMP, Oracle and SAP. CES delivers these services with the highest levels of integrity, quality and professionalism. CES customers span across many verticals such as Automotive, BFSI, Farming & Agriculture, Healthcare, Higher Education, Independent Software Vendors (ISVs), Manufacturing & Distribution, Online Retail (e-Tail), Public Sector and Travel & Hospitality. What we are looking for The Fraud Analyst is responsible for detecting and preventing fraudulent activities within the organization. The role involves analyzing financial transactions, identifying red flags, and investigating suspicious activities. Freshers with good communication. Any graduation is fine Immediate joiners are preferred Should willing to work in rotational shift Walk in interview happening on 23/6/2025, Monday at the below address, CES Limited 1st Floor, West wing Beta Block, SSPDL, Old No. 25, Rajiv Gandhi Salai (OMR), Navalur, Chennai 603103 Why is CES the place for you? Innovative and Dynamic Work Environment Commitment to Employee Growth Meaningful Impact Supportive Team Dynamics Positive Company Culture We believe that CES is not just a workplace; it's a community where you can grow professionally, make a meaningful impact, and be a part of exciting projects. We are confident that your skills and experiences align perfectly with our vision, and we would be thrilled to welcome you to our team. Know more about us www.cesltd.com

Step into a role of Assistant Manager Internal Fraud Optimisation, where youll take responsibility for client service and operational execution task You must take responsibility for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations You must follow well defined procedures that may require a range of job routines and make judgement based on practice and previous experience, To thrive in this role, youll need some previous experience in: Bachelors degree or equivalent in quantitative field of study (masters candidate is good to have), Candidate possessing data and analytical experience with problem solving skills, Ability to perform and handle multiple workstreams with deadline driven environment, Working knowledge of SAS, SQL, and Microsoft Excel, Relevant industry experience, Effective communication skills fluent in English written and spoken, You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills, This role is based in Noida, Purpose of the role To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources, Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, Execution of data cleansing and transformation tasks to prepare data for analysis, Designing and building data pipelines to automate data movement and processing, Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems, Documentation of data quality findings and recommendations for improvement, Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement, Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources, If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate, Will have an impact on the work of related teams within the area, Partner with other functions and business areas, Takes responsibility for end results of a teams operational processing and activities, Escalate breaches of policies / procedure appropriately, Take responsibility for embedding new policies/ procedures adopted due to risk mitigation, Advise and influence decision making within own area of expertise, Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct, Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function, Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Make evaluative judgements based on the analysis of factual information, paying attention to detail, Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents, Guide and persuade team members and communicate complex / sensitive information, Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

Dear Greetings!!! Urgent Opening in Fraud Analytics What you would do in this role Engagement Execution Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Mentor, groom and counsel analysts and consultants. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Who we are looking for? Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Anti Money Laundering, Financial Crime, Telecom Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling: Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects Thanks & Regards Shweta Rawat AM-HR Mount Talent Consulting, an ISO 9001:2008 Company Consulting | Learning | Recruitments Delivering Operations @ India, US, APAC & EMEA Shweta.rawat@mounttalent.com | Website: www.mounttalent.com

Role & responsibilities Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of EPM, Treasury & Tax for Accentures clients. Advise clients on various EPM, Treasury & Tax initiatives, including advisory work for CXOs to achieve diverse business and operational outcomes. Develop and present Proof of Concept for key clients, where applicable. Preferred candidate profile Perks and benefits

. About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Fraud Analyst Qualification : Any Graduate or Above Relevant Experience : 5 to 10Years Required technical skill: Fraud analyst/ATO, PTO, TOA, ID Theft, First Party Frauds, / payments, core banking systems, check kiting, ACH, wire fraud, and other fraud red flags related to credit cards, loans, and Zelle. Location : Bangalore CTC Range : 10 to 17LPA Notice period : immediate to serving notice period Mode of Interview : Virtual Mode of Work : wfo Sonali jena Staffing analyst - IT recruiter Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA sonali.jena@blackwhite.in I www.blackwhite.in +91 806743247

Hiring AML with Transaction Monitoring requires excellent English with a minimum of 1 year of experience in the AML process. Rotation shift, 2 Rotation week off, Both ways cabs available. Non-voice process immediate joining Chennai Candidates * Required Candidate profile Should have AML with Transaction Monitoring Process experience Call us to line up your interview Khushi-9811121475 Sukriti -8176976655 Palak-8115955507 Arjuna-9810615875 *

Hiring KYC with Sanction, Profile, required excellent English with a minimum exp of 1 Year in International KYC process. Rotation shift, 2 Rotation week off, Both ways cabs available. Non-voice process immediate joining Online interview only * Required Candidate profile Should have International KYC Process experience / FATCA Graduation is Must Salary up to 5.5 LPA call Khushi-9811121475 Sukriti -8176976655 Palak-8115955507 Arjuna-9810615875 *

Risk Analytics - Manager/Senior Manager - Risk Operations LocationNoida, Uttar Pradesh DepartmentOperations & Support Risk Operations-Offline Payments Employment TypeFull-time Employment Work EnvironmentOn-site About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team This team involves in making a difference. A lot of contingency and new challenges are encouraged within the team to do stuff that is meaningful for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the employees, and that's how it will always be change management in Social Media. Why join us If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story! About the Role As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities across our payment platforms. Reporting to the Senior Manager Fraud Analytics, you will be responsible for building and maintaining fraud detection models, configuring rules, and supporting control-related projects. You will also collaborate with other teams such as Risk ops, Product, and Engineering to ensure that the organizations risk controls are both effective and scalable. Key Responsibilities Develop and refine fraud detection models, leveraging both rule-based and data-driven approaches to prevent and mitigate fraud risks. Monitor real-time transaction data for suspicious activity, escalating concerns and providing recommendations for corrective action. Assist in the configuration of fraud detection rules within the transaction monitoring system, ensuring accuracy and minimal false positives. Analyze fraud trends and transaction patterns to proactively address potential vulnerabilities and emerging fraud schemes. Collaborate with cross-functional teams, including Risk, Compliance, and Product, to ensure fraud risk mitigation strategies are aligned with business objectives. Support fraud-related control projects, from planning through to execution, ensuring compliance with RBI regulations and internal risk frameworks. Assist in preparing fraud risk reports for senior management, outlining key insights, emerging trends, and actionable recommendations. Work closely with the Senior Manager to ensure regulatory requirements are met, including adherence to RBI and other regulatory standards. Continuously improve fraud monitoring tools and techniques, suggesting enhancements to improve fraud detection accuracy and efficiency. Participate in regulatory audits and assist in responding to fraud-related queries from authorities. Qualifications A bachelors degree in Data Analytics, Statistics, Risk Management, or a related field is preferred. 4-8 years of experience in fraud analytics, risk management, or a related role within the fintech or payments industry. Strong understanding of fraud detection techniques, including rule-based systems and data-driven models. Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms. Familiarity with RBI guidelines and other regulatory frameworks governing payment companies in India. Strong analytical and problem-solving skills, with the ability to identify trends and make data-driven decisions. Excellent communication skills, with the ability to present insights and findings clearly to both technical and non-technical audiences. Experience working in a high-volume transaction environment, such as a payments gateway, mobile wallet, or UPI system. Preferred Skills: Knowledge of machine learning models for fraud detection. Experience working with fraud detection systems in the fintech space, especially in a licensed TPAP setup. Familiarity with compliance and audit requirements in a regulated financial environment. Why Join Us We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our peoples collective energy and unwavering focus on the customers, and thats how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you. With enviable 500 mn registered users, 21 mn merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. Indias largest digital lending story is brewing here. Its your opportunity to be a part of the story!

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

So, what’s the role all about? This position will lead multiple R&D teams that are developing a portfolio of enterprise grade and cloud scale products. We are seeking for a Senior Fraud Analy st to join our dynamic Fraud Analytics team . The ideal candidate will analyze financial institution data, assess fraud risks and enhance detection strategies to combat fraudulent activities. How will you make an impact? Analyze and validate financial institutions' data to identify potential fraud risk indicators Perform statistical analysis for fraud prevention products Assess real-time transactions, alerts and fraud labels to identify potential fraud Identify fraud trends and patterns to enhance detection strategies Collaborate with product management and engineering teams to improve fraud controls Generate reports on fraud incidents, losses, and risk mitigation effectiveness Provide domain expertise and business consultancy for internal and external stakeholders Support sales opportunities Have you got what it takes? Bachelor’s degree in Data Analytics, Industrial Engineering, Computer Science or Finance 4-7 years of experience in fraud analysis, risk management or financial crime investigation Strong business analysis skills with the ability to translate business requirements into product features Proficiency in statistical analysis using SQL or Python Strong written and verbal communication skills in English Ability to work independently, learn quickly and solve problems effectively Solid presentation skills Preferred qualifications: Prior experience with fraud prevention techniques Background in external consulting or professional services Master’s degree in a relevant field What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID:6782 Reporting into: Tech Manager Role Type: Senior Analyst

Responsibilities Analyze data and leverage fraud tools to identify emerging risks, including but not limited to identity theft, credential stuffing attacks, fraud rings, and data compromise situations Thoroughly track and document investigations including actions taken during events, to ensure containment Perform root cause analysis (RCA) following events and partners with key stakeholders to ensure necessary controls are in place Leverage existing tools and processes to collaborate in projects to enable more effective detection and investigation program Create, analyze, and monitor trend reports using tools such as Excel Become a subject matter expert in the Fraud and Disputes policies and procedures at Marcus Support and collaborate with Financial Crimes Compliance (FCC) and Cyber Security teams and provide them with ongoing business support as needed Basic Qualifications Experience working in the Fraud Analytics or Investigations space Experience working with various alerting and monitoring tools, navigating and reviewing system logs Understands different fraud typologies and industry best practices are in fraud prevention, detection and remediation spaces Interest in leveraging data to tell a story, developing remediation plans, and improving business processes Able to think holistically, possess curiosity, and can articulate the tradeoff actions may have between risk and impact on the customer experience Possess sound methodical judgment, can prioritize conflicting priorities, can derive solutions from ambiguity to meet deadlines, and is willing to take on ad-hoc projects Possess strong communication skills and the ability to forge partnerships with internal stakeholders through collaboration Problem solving skills, with ability to see the big picture and deliver creative solutions to complex problems Bonus Skills: Experience navigating large data sets (structured or unstructured) Basic SQL knowledge Experience in performing RCA in complex situations is a plus

Hiring for fraud investigation for non voice with excellent comms and experience is must, Voice process looking for candidate with min 1 year exp in fraud investigation, AML, Sanctions ,Claims collections Salary:- 7.5 ctc call zoya 9035001415

Key Responsibilities: Monitor and analyze transactional and customer data to detect potential fraud or suspicious behavior using SQL and analytics tools. Investigate alerts generated by fraud detection systems and perform detailed analysis to determine validity. Design and execute SQL queries to extract and manipulate data for fraud trend analysis and reporting. Develop and maintain dashboards and reports to track fraud KPIs and identify emerging risks. Collaborate with Risk, Compliance, and Legal teams to escalate confirmed cases and file SARs or STRs if applicable. Recommend enhancements to existing fraud rules and systems based on data-driven insights. Support audits and regulatory inquiries with relevant data and analysis. Stay current on fraud trends, typologies, and regulatory requirements. Required Skills: 35 years of experience in fraud detection, risk analytics, or financial crime investigation. Strong proficiency in SQL – ability to write complex queries for data extraction and manipulation. Knowledge of fraud detection systems (e.g., Actimize, SAS, Feedzai, Falcon – as applicable). Familiarity with AML/KYC guidelines and transaction monitoring processes. Experience with visualization tools like Power BI, Tableau, or Excel . Analytical mindset with excellent attention to detail and problem-solving skills. Good written and verbal communication skills.

Pearson VUE is the global leader in computer-based testing for information technology, academic, government and professional testing programs around the world. Pearson VUE provides a full suite of services from test development to data management and delivers exams through the worlds most comprehensive and secure network of test centers in more than 175 countries. The VSI department in Pearson VUE interface with internal staff, test center staff and sponsors to investigate and report compliance within the Pearson VUE Testing Channel. The appointed individual will be responsible for managing global program, work with international vendors, improve process efficiency and ensure test centers adhere to the minimum agreed standards of quality and security as prescribed by Pearson VUE and its clients. Key Responsibilities All employees have a responsibility to co-operate in promoting and maintaining a safe and healthy working environment, and to take reasonable care of their own health and safety at work and that of all other staff that may be affected by their acts or omissions. Line managers have specific responsibility for the health and safety of their direct reports and other team members for which they have general management responsibility. All employees are also responsible for supporting and implementing the company’s policies and procedures around the Health and Safety, Security, Quality and Business Continuity arrangements that apply in their role/work function. Full details of these policies and procedures are available on SharePoint. Conduct thorough investigations into security risks and incidents in APAC countries for clients, working with internal staff, systems and data, as well as third parties to assemble the required information. To run and investigate client cases in APAC in conjunction with the global security teams as necessary, and report and document the outcome of such investigation in global share point. Identify areas of opportunities and take initiatives to improve process efficiency. Ensure that security standards are maintained and that security objectives are being met or exceeded. Be an ‘expert and spokesperson’ to all internal parties, to raise internal awareness and mindshare of the quality message. Proactively own the effective resolution of security issues Develop, maintain and communicate efficient security processes to relevant parties. Work under minimum supervision and act as an escalation point for global project and channel quality to resolve issues. Proactively work on improving the security control via new internal processes as well as new external security awareness measures. Highlight any additional opportunities and possible quality, security or Health & Safety trouble areas to the reporting manager. Key Activities Investigating client security incidents and risks in APAC and proactively own their resolution. As required, recommend and implement corrective actions in APAC such as re-training, suspension or termination of testing centers. Make recommendations for technology and process improvements to support security policies and initiatives. Monitor the APAC channel for client security risks by utilizing existing reports/creating new reports/ to investigate new security trends. Managing the systematic risk profiling of APAC countries for client testing. Work on various global security projects to monitor security standards and compliance check at testing centers through video monitoring, eye glass inspection, remote surveillance etc Extensive use of data analytics for investigating flagged test centers and candidates as per defined process and reporting key observations to the reporting manager. Run various VSS reports and conduct reviews and where required investigations in APAC sites as appropriate, including collaboration with global security teams. Investigating Pearson testing channel to identify and prevent exam fraud & infringement through review of candidate biometrics and other data points Closely work with manager in supporting new global projects/initiatives including data forensics. Maintain accurate documentation of client/site investigations with evidence using the Global Security SharePoint system. Web Monitoring-Review websites, twitters, you-tubes, forums and other social media platform flagged for suspicious content/activity for key PVUE client as per predefined criteria and tag them for client action as applicable. Co-ordinate with stake holders to ensure timely action on skeptical web-links Closely monitor target achievement and budgetary expenses. Generate weekly, monthly and quarterly reports indicating individual performance. Run Integrity shop reports to monitor the testing Centre performance and implement corrective actions if necessary. Provide input for the Channel newsletter. Work with global channel security/quality for implementing various process improvements. Proactively provide ideas to improve processes and procedures to enhance quality and security standards at test centers. At all times, throughout all tasks, request support, guidance and assistance as required from colleagues and manager. Effective and timely completion of objectives, reviews, reporting and accurate administration as required by manager. Continual Improvement. Essential Experience & Qualifications Very Good working knowledge of the Microsoft Office Suite and associated packages including Word, Excel, PowerPoint, Outlook, Access and Internet packages. Vocational experience in a similar environment. Ability to follow detailed procedures and ensure a high level of accuracy in documentation and data. Ability to take responsibility for actions, a self-starter who can work well in a dynamic environment. Prioritization skills and experience of dealing with multiple projects in a structured way. Experience in vendor management. Experience in a customer facing environment, where ensuring high levels of customer satisfaction is essential. Ability to establish rapport and deal with people at varying levels, both internally and externally. Good communication skills, both written and oral. Ability to work in a team structure. Desirable Experience & Qualifications Bachelor Degree or equivalent experience in related fields Should have a minimum of 1-2 year work experience. Working Arrangements: Some travel may be required.

AML - Process Associate - FRAUD ANALYST Max Salary: 5 LPA - Depends upon last ctc Location: Hyderabad Shift: Rotational Shifts Experience: 13 years (preferred in AML/KYC/Transaction Monitoring) Job Description We are seeking a detail-oriented and analytical AML Analyst to join our compliance team. The ideal candidate will be responsible for monitoring financial transactions, identifying suspicious activities, and ensuring compliance with AML regulations and internal policies. Key Responsibilities Monitor, review, and analyze financial transactions to detect potential money laundering activities. Conduct enhanced due diligence (EDD) and customer due diligence (CDD) as required. Investigate and report suspicious activity through the filing of SARs (Suspicious Activity Reports). Use AML software tools to identify unusual patterns or transactions. Work closely with compliance, risk, and legal teams to ensure adherence to regulatory requirements. Maintain accurate documentation and audit trails of all case files and investigations. Stay up-to-date with AML regulations and best practices. Required Skills & Qualifications Graduation 13 years of relevant experience in AML, KYC, Transaction Monitoring, or Compliance. Familiarity with global AML laws and regulations (e.g., PMLA, FATF, OFAC). Strong analytical, research, and communication skills. Ability to work in a fast-paced, high-pressure environment and manage shifts. Shift & Work Environment Rotational shifts Willingness to work in a compliance-driven and process-oriented setup. CONTACT HR RAMADEVI : 7842224022

Role & responsibilities VIGILANCE Preferred candidate profile SAME AS REQUIRED Perks and benefits PF & INSURANCE

Key Responsibilities: Fraud Detection & Prevention: Monitor and analyze transactions for potentially fraudulent activities. Utilize fraud detection tools, AI-based models, and alerts to identify suspicious behavior. Implement fraud prevention strategies, including rule-based and AI-driven detection methods. Investigation & Reporting: Investigate fraudulent transactions and document findings with supporting evidence. Collaborate with law enforcement agencies, regulatory bodies, and internal teams for fraud-related cases. Prepare detailed reports on fraud trends, risks, and preventive actions. Risk Management & Compliance: Ensure compliance with anti-money laundering (AML) and fraud prevention regulations. Maintain and update fraud risk policies and procedures. Conduct internal audits to assess the effectiveness of fraud control measures. Stakeholder Coordination: Work closely with the IT, Legal, and Operations teams to implement fraud control measures. Train employees on fraud detection techniques and best practices. Assist customers in resolving fraud-related disputes and claims. Preferred candidate profile Education: Bachelors degree in Finance, Accounting, Business, Computer Science, or a related field. Experience: 2-5 years of experience in fraud detection, risk management, banking, or financial services. Technical Skills: Familiarity with fraud detection tools (e.g., SAS, Actimize, Falcon, or AI-based solutions). Analytical Skills: Strong data analysis and problem-solving abilities. Regulatory Knowledge: Understanding of AML, KYC, CFT, and other fraud-related compliance frameworks. Communication: Excellent verbal and written communication skills. Attention to Detail: Strong ability to detect anomalies and investigate suspicious activities

Hi, We are hiring Fraud Analyst for our Client. Work from office. US Shift timing Work Location : Perungalatur, Chennai. Direct walkin interview. Good communication required JD - Recognise and respond to cases generated by the Fraud Management System (FMS) for unusual or suspicious activity in relation to application and usage screening to prevent abuse and loss of revenue across multiple Sky products Ensure that requests for information from internal and external departments are dealt with in accordance with agreed service levels, highlighting risks and issues to a Supervisor where appropriate Analyse data, information and Intelligence to identify new trends and patterns pertaining to known or new fraud threats within departmental guidelines Assist as necessary in the provision of fraud training and awareness to other business areas Keep abreast of changes in fraud trends, new products and services; conduct reviews or update internal processes to stay current and understand any implications to fraud processes Work rotational shift patterns 7 days per week, including evenings and weekends, to ensure appropriate coverage to support current and new business needs across all products and services Key Skills & Experience Include: Understanding or knowledge of Skys products and services alongside an awareness of current and possible future business trends, as well as their potential impact on the company A high level of personal integrity, confidentiality, and professionalism. You will conduct yourself in a collaborative, confident and professional manner when dealing with the business, industry and stakeholders, and when representing the business, whilst working with sensitive information The ability to work under pressure whilst ensuring accuracy and meeting tight deadlines, particularly with real-time decision-making requirements Proactive and self-motivated, proficient in standard Microsoft Office and experience in learning custom IT software, with a desire for continuous improvement Investigative ability, with strong attention to detail and a clear desire to understand root cause and explore opprotunities to improve process and detection within the fraud function. Experience and knowledge from the communications industry with awareness of fraud prevention strategies would be a desirable quality Sal max upto 5 lpa. Immediate joining is required. Pls call durga 9884244311 for more info Thanks, durga 9884244311

Hiring for Multinational organization | Gurgaon Fraud analyst / KYC / Onboarding / Aml Location - Gurgaon Salary - KYC max 5LPA and Fraud Analyst Max 7Lpa + other perks and benefits cab facilities / traveling allowances grad / undergrad both can apply 1 year of experience in Credit Risk/ Merchant Onboarding, KYC Onboarding, Credit Risk (Any) FOR FURTHER DETAILS : Call WhatsApp 7678572840 (Kashis) 9997196123 (Saloni) 9147047908 (Abhishek) WALKIN INTERVIEW VENUE: HUMAN BEFORE RESOURCE PRIVATE LIMITED PLOT F1, OFFICE B001 SECTOR 3 LANDMARK- NOIDA SECTOR 16 METRO RANJANIGANDHA GATE BESIDE HCL NOIDA - 201301

Hiring for-AML/KYC/FRAUD Min exp- 3 years Salary- Upto 6 LPA Loc- bangalore rotational shift 5 days working 2 days off vaishnavi.imaginators@gmail.com 9560136938 vaishnavi sethi

Role & responsibilities In Platform Solutions (PS), we power clients with innovative and customer-cantered financial products. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. PS is comprised of four main businesses, underpinned by engineering operations, and risk management: Transaction Banking, a cash management and payments platform for clients building a corporate treasury system Enterprise Partnerships, consumer financial products that companies embed directly within their ecosystems to better serve their end customers Merchant Point-of-Sale Lending, a platform that provides custom credit financing for home improvement merchants to offer directly to their customers ETF Accelerator, a platform for clients to launch, list and manage exchange-traded funds Seeking a detail oriented and analytical individual to join our team as Card Fraud Transaction Monitoring specialist. This role involves monitoring card transactions to detect and prevent fraudulent activities. Agent will play a key role in safeguarding customers and the business from fraud risks while ensuring compliance with company policies and regulatory requirements. Key responsibilities : Monitor transactions, Fraud Detection, Alert management, collaboration and continuous improvements Attention to detail, Analytical thinking, communication skills, technical skills(MS Excel is a plus), team player and adaptability Preferred candidate profile

About The Role : Entity :- Accenture Strategy & Consulting Title :- Level 9 Ind & Func AI Decision Science Consultant Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accenture's clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel:Willingness to travel up to 40% of the time Professional Development Skills:Project Dependent Qualifications Job Qualifications Who we are looking for? 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: o Banking Fraud, Payment Fraud, Credit Card Fraud, Retail o Fraud, Anti Money Laundering, Financial Crime, Telecom o Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling:Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects