196 Fraud Analytics Jobs - Page 5

We are hiring for Fraud Prevention profile for gurgaon sec 18. min 1 year of exp in fraud prevention along with strong analytical and investigation skills required. candidate must be graduate. salary upto 5.5 lpa. call/whatsApp: Nainy: 9354475254 Perks and benefits both side cab.

Mega Walkin Drive for Fraud Analyst & Fraud Dispute for India's Leading ITES Company CTC- Upto 7LPA Location - Gurgaon Apply Only If you an immediate Joiner ( No Notice Period will be consider) Interview Venue: HUMAN BEFORE RESOURCE PRIVATE LIMITED PLOT F1, Unit 401 4th Floor (Lift 2) LANDMARK- NOIDA SECTOR 16 METRO RANJANIGANDHA GATE BESIDE HCL NOIDA - 201301 A fraud analyst must possess strong analytical skills to identify patterns, trends, and anomalies in data that may indicate fraudulent activity. Attention to detail is crucial for a fraud analyst to spot discrepancies and inconsistencies in financial records or transactions. Effective communication skills are essential for a fraud analyst to collaborate with other team members, report findings to management, and communicate with external stakeholders. Fraud analysts must be able to think critically and creatively to solve complex problems and identify solutions to prevent and detect fraud. A strong understanding of fraud detection techniques, tools, and technologies is essential for a fraud analyst to effectively identify and prevent fraudulent activity. Fraud analysts must have a good understanding of regulatory requirements and compliance standards related to fraud prevention and detection. Proficiency in using data, software, and systems is important for a fraud analyst to effectively analyze and interpret data to detect fraudulent activity. You may be assessed on key essential skills relevant to succeed 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 out of Gurgaon Purpose of the role To support business areas with day-to-day processing, reviewing, reporting, trading and issue resolution. Accountabilities: Support various business areas with day-to-day initiatives including processing, reviewing, reporting, trading, and issue resolution. Collaboration with teams across the bank to align and integrate operational processes. Identification of areas for improvement and providing recommendations in operational processes. Development and implementation of operational procedures and controls to mitigate risks and maintain operational efficiency. Development of reports and presentations on operational performance and communicate findings to internal senior stakeholders. Identification of industry trends and developments to implement best practice in banking operations. Participation in projects and initiatives to improve operational efficiency and effectiveness. Analyst Expectations. To meet the needs of stakeholders/ customers through operational excellence and customer service. Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of team members. Identify escalation of policy breaches as required. Take responsibility for customer service and operational execution tasks. 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. Gain and maintain an understanding of own role, how the team integrates to achieve overall objectives, alongside knowledge of the work of other teams within the function. Work within well-defined procedures that may involve a variety of work routines. Demonstrate an understanding of the procedures. Evaluate and select the appropriate alternatives from defined options. Make judgements based on the analysis of factual information. Build relationships with stakeholders and customers to identify and address their needs, in support of a smooth operating process, handling sensitive issues as required. Call WhatsApp 7678572840 9997196123 9147047908

Job Overview: As a Fraud Analyst, you will be responsible for investigating and resolving customer complaints related to missing, delayed, or misrouted packages. You will be working as an individual contributor. You will be reviewing the customer complaints and identifying scam behavior basis evidence supplied by the customer, delivery confirmation from logistics partner and your skills on open-source intelligence. You will be entrusted with a decision making on whether the complaint is genuine, and which warrants a refund from the company to the client. Your role is crucial in maintaining customer trust by ensuring transparency and efficient resolution of order issues. Job Description: Analyze and investigate customer reports of missing or delayed packages, identifying patterns and root causes. Utilize internal tracking systems, open searches, evidence shared by logistics partner and data analytics tools to detect scam behavior and decide on the veracity of the report filed by the customer. Collaborate with internal teams and external logistics partners (e.g., carriers, fulfillment centers) to track down orders and resolve issues. Escalate critical or unresolved issues to management or other relevant departments, ensuring prompt action. Identify and recommend process improvements to reduce the volume of lost or delayed packages, contributing to a smoother customer experience. Maintain accurate records of all investigations and resolutions, ensuring a robust audit trail. Qualifications: Education: Any bachelor's degree, but relevant work experience will be preferred. Experience: 3-4 years in customer service, logistics, or supply chain roles, particularly in online retail or e-commerce. Skills: Strong problem-solving and analytical skills. Excellent verbal and written communication skills. Proficiency in logistics software, customer service platforms (e.g., Zendesk, Salesforce), and data analytics tools. Ability to work under pressure and meet tight deadlines. Customer-focused with a high degree of empathy and patience. Willingness to work night shifts is desirable. Key Performance Indicators (KPIs): Resolution time for missing order inquiries. Customer satisfaction (CSAT) scores related to order investigation cases. Percentage reduction in lost or delayed packages. Efficiency of escalation and resolution processes. Sutherland never requests payments or Favours in exchange for job opportunities. Please report suspicious activity immediately to TAHelpdesk@sutherlandglobal.com

The Senior Statistical Data Analyst is responsible for designing unique analytic approaches to detect, assess, and recommend the optimal customer treatment to reduce frictions and enhance experience while properly managing fraud risk with data driven and statistical methods. You will analyze large amounts of account and transaction data to build customer level insights to derive the recommendations and methods to reduce friction and enhance experience on fund availability, transaction/fund hold time and more, and models while managing the customer experience. This role requires critical thinking and analytical savviness to work in a fast-paced environment but can be a rewarding opportunity to help bring a great banking experience and empower the customers to achieve their financial goals. Responsibilities: Analyze large amounts of data/transactions to derive business insights and create innovative solutions/models/strategies. Aggregate and analyze internal and external risk datasets to understand performance of fraud risk at customer level. Analyze customer's banking/transaction behaviors, and be able to build predictive models (simple ones like logistic regression, linear regression) to predict churns or negative outcomes or running correlation analysis to understand the correlation. Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behaviorals, and value. Conduct analysis for data driven recommendations with reporting dashboard to optimize customer treatment regarding friction reduction and fund availability across the entire banking journey. Skillset: Analytics professional preferably with experience in Fraud analytics . Strong knowledge and working experience in SQL and Python is a must. Experience analyzing data with statistical approaches with python (e.g. in Jupyter notebook): for example, clustering analysis, decision trees, linear regression, logistic regression, correlation analysis Knowledge of Tableau and BI tools Hands-on use of AWS (e.g. S3, EC2, EMR, Athena, SageMaker and more) is a plus Strong communication and interpersonal skills Strong knowledge of financial products , including debit cards, credit cards, lending products, and deposit accounts is a plus. Experience working at a FinTech or start-up is a plus.

Role & responsibilities Fraud Investigator responsible for Detecting and investigating financial fraud on behalf of clients Position Fraud Detection Analyst Job Summary: Analyze financial transactions and account activity to identify unusual activity to identify unusual or suspicious patterns. Conducting in-depth investigations into potential fraud cases, which may involve gathering evidence. Performing 360 Reviews on the Alert which has been triggered due to violation of threshold set for the systems for Fraud types (i.e.- ATO, PTO, TOA, ID Theft, ATO Scam, First Party Frauds etc.) Conduct 360 fraud reviews for the customers profiles and responsible for detecting and mitigating core banking, payments, fraud, and account opening red flags. Implemented solutions to fraud problems across ATOs, P2P Payments, ACH kiting, check kiting, and wire fraud Multiple investigations into whistle blower complaints concerning account hijacking, transactional frauds, funds transfer return, checks (RDC, Thea) or ACH transactions that provided real time decisions on credit card, loan, and Zelle fraud red flags Combined retroactive analysis with current state fraud control assessments to implement technology and process framework that provided real time decisions on fraud strategy and overall fraud assessment Liaison with internal and external counterparts to perform end-to-end alert reviews (360 review) from fraud alert generation through to SAR filing. Analyze data trends and out of pattern activities to assimilate the next course of action (Case closure, Reimbursements, or escalation) Adjudicate the fraud type and apply relevant mitigation steps basis policies and procedures Qualifications: Prior experience in Fraud detection and investigations Transaction Monitoring experience is preferred Familiarity with the firm's internal systems and processes or similar processes at other institutions Exceptional research and analytical skills with the ability to analyze large amounts of data, decipher higher risk attributes (transactional, geographical, product, customer type, etc.) and develop well-reasoned recommendations Proficient in MS Office (Outlook/Word/Excel/PowerPoint) Maintaining detailed records of fraud cases and investigation outcomes. Ensuring compliance with relevant laws and regulations related to fraud detection and prevention. Desired Educational Qualification Bachelors Degree in Commerce, Computer Science or equivalent is preferred. Preferred Educational Qualification Full-time master’s degree/MBA Desired Certifications: CFE CAMS CRP

Grade I - Office/ Core Responsible for supporting various initiatives to improve the effectiveness of financial controls, risk management and fraud policies, providing assurance and undertaking a range of control and compliance activities, and working with team members to drive awareness of internal control requirements. Entity: Finance Job Family Group: Finance Group We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the worlds ambition of a low-carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero. Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better - and how you can play your part in our world-class team Join our Finance Team and advance your career as Fraud Analytics & Detection Analyst! Purpose of the Role: To make this transition, we re looking for a fraud analytics and detection analysts to support the review of our global fraud analytics tool. This new digital fraud analytics solution is now enabled to support end-to-end data modelling, automated and well defined analytical capabilities following the overarching control framework on a bp-wide scale. Key Accountabilities: Accountable for the fraud analytics review and reporting activities in travel & entertainment claims and Source to Pay; Accountable for providing timely, accurate and reliable management information including analysis, interpretation and insight Job scope: Review alerts - by validating to the supporting documentation, relevant policies, approvals and ERP systems to confirm if there are suspected fraud or false positives. Run the end to end alert case management For suspected fraud, provide the relevant info/evidences to relevant teams to facilitate the investigation. For false positives, review the data and parameters minimize/reduce the false positives. Identify valuable process and performance improvement opportunities which include process simplification and automation where vital Crucial Experience and Job Requirement 2-3 years relevant post degree experience work experience; Self-starter; able to handle a multifaceted workload in volume and time pressure; Excellent teammate with ability to communicate optimally at all levels, including the translation of difficult requirements to simple outcomes; Strong partner leadership skills including maturity in demand management and the ability to optimally handle conflicting priorities and expectations; Resilience to operate optimally in a fast paced, ambitious environment; Language and interpersonal skills with particular focus on client responsiveness; Experience of reporting and auditing processes with a focus on fraud analytics is helpful; Able to assimilate data to identify key issues and aid decision making, able to anticipate future situations and plan ahead to meet them; Looks for ways to do things better, faster and more efficiently. Education: Bachelor s degree in a relevant finance/business field required; Absolute proficiency in business English Desirable Criteria: Degree; Qualified in a recognised national or international professional accountancy qualification e.g. CIMA, ACCA, ACA, CPA; Work experience in a large and multinational environment with partner relationships across multiple countries Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us . If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Role Overview: As an Analytics Consultant at Proclink, you will play a critical role in delivering Data and Analytics solutions to a leading U.S. BFSI client. This role demands strong analytical thinking, business acumen, and hands-on experience in applying advanced analytics. Key Responsibilities: Partner with client stakeholders to define business problems and develop data-driven solutions Perform exploratory and statistical analysis to uncover trends, risks, and growth opportunities Work with large datasets using SQL, Python; ensure data integrity and interpretability Present insights, hypotheses, and recommendations clearly to cross-functional teams Align analytics solutions with regulatory and business rules in the U.S. banking context Collaborate with Proclinks internal teams in data engineering and AI/ML productization. Should understand credit card collection definitions and would have worked on creating collection strategies. Proactively analyse the collection efforts that helps collection/ recovery team Required Qualifications: 4 to 10 years of hands-on experience in analytics or data science in BFSI domain, preferably in credit card platform under fraud or collection team Expertise in SQL and Excel Prior experience working with U.S.-based clients in the BFSI space Experience in predictive modeling, customer segmentation Excellent communication and problem-solving skills Bachelors or Masters degree in Engineering, Statistics, Economics, Business Administration or related field Interested candidates can share resume at tisha.vaghela@proclink.com

Hiring KYC Profile, required excellent English with a minimum exp of 1 Year in the 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 *

Responsibilities: * Conduct field investigations on suspected fraudulent activities * Analyze evidence and interview witnesses * Collaborate with legal team for prosecution purposes * Maintain confidentiality at all times Flexi working Travel allowance

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 WHATS 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 worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll 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 Accentures 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 DependentQualification 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 Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

About this role: Wells Fargo is seeking an Analytics Manager. The team manager will lead the DS&O team based out of Bengaluru, as an extension of its functional team in the US, working closely with the US team. The leader will be responsible for fraud monitoring, fraud strategy analysis implementation, automation and reporting across work areas. In this role, you will: Manage and develop a team of individual contributors in planning, coordinating, and executing data research projects or results oriented intelligence that supports line of business or companywide business objectives Identify and recommend strategies for developing and utilizing technical or analytic resources to enable initiatives that predict, improve, support, and measure business success Interpret and develop strategies that maximize profits or asset growth and minimize credit losses, operating losses and other risk exposures Ensure adherence to data management and data governance regulations, and policies and compliance requirements Collaborate and consult with peers, colleagues and multiple level managers to ensure effective consultation and recommendations based on data analysis Provide leadership to the department in the identification and development of innovative research concepts and designs Work with clients to define issues and information needs and translate them into specific data and technical requirements to support business initiatives and projects Manage allocation of people and financial resources Mentor and guide talent development of direct reports and assist in hiring talent This position will manage and lead the team responsible for performing various complex activities related to fraud detection & prevention efforts for ACH, Wires or Instant Payment products. Team member must be able to work and align with operations and the broader fraud prevention team. The leader will communicate regularly with team members and management to share trends or analysis, facilitate strategy development, or drive mitigation work streams. An ideal candidate must be able to communicate effectively and efficiently to large audiences, including senior management, and be proactive in the development and partnership related to fraud strategy creation and fraud analysis. Manage the teams day to day responsibilities and delivery activities, collaborate across lines of business including operations on fraud and scam mitigation efforts. Provide analytical support for different types of fraud identification and prevention/detection strategies, methods, and other fraud- related projects Support monitoring of fraud rules/models Support analysis and development of strategies, methods, and other fraud-related projects Establish mechanisms to manage and mitigate fraud risks for all portfolios Assess current state of capabilities and bring on board, manage the right talent to achieve plan goals Stakeholder management with the objective of improving the effectiveness of the team Performance evaluation for team members along with building the career maps for the team Serve as a valuable resource to the other members of the team while promoting knowledge sharing and team collaboration Required Qualifications: 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 2+ years of leadership experience 4+ years of experience in one or a combination of the following: data analytics, or predictive modeling with a background in fraud detection. 2+ years of leadership experience in with at least 4+ years of managerial experience Experience with partnering and collaborating across lines of business and with operations to deploy prevention and detection strategies. BS/BTech degree or higher in a quantitative field such as applied math, statistics, engineering, physics Strong analytical skills with high attention to detail and accuracy Fraud domain understanding experience Ability to create documentation of process flows, business analysis and metadata Demonstrated critical thinking and problem-solving skills. Desired Qualifications: Knowledge and understanding of fraud detection process in banking Strong analytical skills with high attention to detail and accuracy Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously Possesses a strong work ethic and thrives in a collaborative team environment Excellent verbal, written, and interpersonal communication skills and demonstratable strong presentation skills; ability to tell the story to an executive audience. Engage with cross culture team members and stakeholders, and other lines of business with competing priorities. Engage with cross culture team members and stakeholders Understanding of retail branch, phone, and digital customer experience Experience working on BI Tools like QlikView or Tableau Experience with MS Office Suite (PowerPoint, Excel, Word) intermediate at a minimum

Greeting from KVC CONSULTANTS LTD Hiring for Leading ITES Company In Gurgaon for AML/FRAUD INVESTIGATION SPECIALIST. Key Highlights: 1: Graduate with min 2 year experience in AML/FRAUD INVESTIGATION 2: Salary upto 4.5 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.

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.

The AML Analyst/Officer/Investigator is responsible for supporting the company's efforts in detecting, preventing, and reporting money laundering activities. The role involves monitoring transactions, investigating suspicious activities, ensuring compliance with relevant laws and regulations, and preparing reports for regulatory bodies and senior management. Key Responsibilities: Transaction Monitoring: Monitor daily transactions for signs of suspicious activity, including large or unusual transactions, patterns of behavior, and activities that do not align with customer profiles. Analyze transaction data and review alerts generated by AML monitoring systems. Investigations and Due Diligence: Investigate suspicious activities, performing in-depth research using internal databases and external sources to gather relevant information. Conduct Know Your Customer (KYC) checks and Enhanced Due Diligence (EDD) on high-risk clients to verify their identity and assess potential risks. Follow up on red flags and escalate cases when necessary. Regulatory Compliance: Ensure compliance with anti-money laundering laws and regulations (such as the Bank Secrecy Act, FATF guidelines, and local regulatory requirements). Prepare and file Suspicious Activity Reports (SARs) and Currency Transaction Reports (CTRs) to relevant authorities in a timely manner. Stay up-to-date with regulatory changes and ensure policies are updated accordingly. Reporting and Documentation: Prepare and submit regular reports on AML activities, suspicious transactions, and investigations to management. Maintain accurate and thorough documentation of all investigations and actions taken. Training and Awareness: Assist in the development and delivery of AML training programs for staff, ensuring awareness of policies and procedures. Promote an AML culture within the organization and provide guidance to other employees on identifying and reporting suspicious activity. Collaboration with Teams: Work closely with the compliance, legal, risk, and operations teams to ensure a coordinated approach to AML efforts. Collaborate with external law enforcement agencies or regulators when necessary. Risk Management: Help identify, assess, and mitigate AML risks across the organization. Participate in risk assessments and internal audits to strengthen the institutions AML program. Qualifications: Education: Bachelors degree in finance, accounting, business, or a related field. Experience: 1-3 years of experience in an AML, compliance, or financial crime-related role (for Analyst roles). 3-5+ years of experience (for Officer/Investigator roles). Familiarity with AML regulations and financial services industry practices. Knowledge of financial crime typologies and techniques used by criminals to launder money. Certifications: AML certification such as CAMS (Certified Anti-Money Laundering Specialist) or similar is preferred. Other relevant certifications may be beneficial (e.g., CFE Certified Fraud Examiner, ICA International Compliance Association).

Hiring for Multinational organization Fraud analyst / KYC / Onboarding / Aml Location - Gurgaon Salary - kyc max 5lpa to fraud analyst max 7 lpa + other perks and benifits cab facilities / traveling allowances grad / undergrad both can apply 1 year of banking experience in frauds ,aml and kyc is mandatory FOR FURTHER DETAILS : Call/ WhatsApp 7678572840 9147047908 9997196123

Responsibilities: Helping with various aspects of model validation Perform all required tests (e.g. - model performance, sensitivity, back-testing, etc.) Interact with model governance team on model build and model monitoring Work closely with cross functional teams including business stakeholders, model validation and governance teams Deliver high quality client services, including model documentations, within expected timeframes Requirements : Minimum 2+ years of experience in executing end to end monitoring/validation/production/implementation of risk model validation/monitoring understanding with respect to marketing/general analytics problems . Managing assigned projects in a timely manner, ensuring accuracy and that deliverables are met. . Training, coaching and development of team members Qualifications: . Previous experience (2+ years) in analytics, preferably in BFSI . Good knowledge in General Analytics, Fraud Analytics . Past experience in problem solving roles, strategic initiatives . Good problem-solving skills

Urgent Hiring for Fraud Analyst Experience- Minimum 6 Months on paper exp as a AML Analyst OR Fraud Analyst Undergraduate can apply. Shit- 24/7 , Any 9 hours, Package - 4.5 Lpa Immediate joiners. connect on HR Arti 9522754537 Required Candidate profile Graduate and undergraduate both can apply Minimum 6 months experience is mandate in banking Excellent written or verbal communication is required

Job description Role & responsibilities - Conducts reviews and inquiries on identified and suspicious accounts within the specified systems. - Analyzes and reviews potentially fraudulent activity, to ensure minimal loss to the organization. - Interacts with members, as needed, who are reporting fraudulent activity. - Reviews suspicious documentation submitted for new accounts. - Enters and maintains accurate case detail notes for all alerts received and reports type of fraud on each occurrence. Conducts thorough investigations on identified and suspicious accounts within the specified systems. Ability to create a case file with documentation to support the final decision. Monitoring of fraud claims to ensure validity of claim, which may include contacting merchants, financial institutions and/or clarifying customer statements as necessary. Reviews alerts/reports to detect Suspicious Activity, fully understand criteria when a Suspicious Activity Report (SAR) is required along with completing BSA form, writing narrative and gathering supporting documentation. Preferred candidate profile We are seeking a talented and self-motivated Fraud Investigator to join our Fraud Operations team. Candidate will be responsible for all aspects of Fraud investigations as it relates to Application Fraud, Transactional Reviews, Debit/Credit Card Fraud, Check Deposits, ACH/Check returns, as well as the review of any/all related suspicious activity across all products (checking/savings, credit cards, loans and Investment accounts); advising and assisting Management in making and implementing strategic decisions and objectives; and driving business objectives. Should have 1+ years experience in a fraud and risk related role which includes Fraud prevention on bank accounts, cheque and dispute management. Reviewing and verifying fraud related requests. Analyzing customer accounts, products and debit/credit card risk and requesting or inquiring for additional information as necessary through outbound calls. Ensuring compliance with regulatory standards. Ensuring compliance with company/client policies and guidelines. Documenting and effectively communicating reasons for the approval/rejection of transactions.

Position Summary The ideal candidate will play a key role in setting up and managing our credit & Fraud risk management frameworks and strategies. They will oversee a team responsible for developing, implementing, and refining risk management rules and collection strategies to support our digital lending initiatives. This position requires strong analytical, strategic, and technical skills, as well as a deep understanding of risk management in the lending domain, specifically within NBFCs, banks, or fintech organizations. Key Responsibilities Lead, mentor, and manage a team of analysts and data scientists focused on credit risk, fraud detection, and collection strategies. Design and implement credit risk management rules and models for digital lending, ensuring robust credit risk assessment. Define risk segmentation strategies and establish differential pricing models for varying risk profiles to support profitable growth Conduct portfolio analysis to monitor and control exposure across various lending products, ensuring adherence to risk appetite limit Develop and implement fraud detection and prevention strategies using advanced analytics and machine learning techniques Create robust fraud risk management policies, incorporating rule-based and behavioral analytics to identify potential fraud patterns. Define and implement data-driven collection strategies to optimize recovery and minimize losses • Develop scorecards and segmentation models to prioritize collections efforts, customizing approaches for different customer segments. Collaborate with operations and customer service teams to ensure effective deployment of collection strategies. Use advanced analytics to continuously monitor collections performance, adjusting strategies to maximize recovery rates Develop and maintain Python-based models and scripts to automate risk and fraud analytics processes. Work closely with product, compliance, technology, and operations teams to ensure credit and fraud risk strategies align with business objectives and regulatory requirements. Collaborate with external partners and vendors, as needed, to enhance risk management capabilities. Ensure compliance with regulatory standards and best practices in risk management, credit underwriting, and collections. Core Skills & Experience Masters or Postgraduate degree in Finance, Economics, Statistics, Data Science, or a related field. Minimum of 10 years in credit risk, fraud risk management, or collections strategy within the lending industry (NBFCs, banks, fintechs), with significant experience in digital lending. Proficiency in Python for data analysis, model development, and automation of risk strategies. Familiarity with data visualization tools (e.g., Tableau, Power BI) and statistical tools (e.g., R, SAS) is a plus. In-depth understanding of credit and fraud risk management frameworks, digital lending processes, and industry best practices. Strong quantitative and analytical skills, with a demonstrated ability to interpret complex data and translate findings into actionable strategies. Excellent written and verbal communication skills to effectively present insights and strategies to technical and non-technical stakeholders. Proven experience managing and motivating a high-performing team, with a collaborative approach to cross-functional work.

Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. Provide written reports detailing the results of validations highlighting issues identified during the validation. Validate remediation activities completed by the ILOD (Line of Defense) to ensure appropriate resolution of identified issues. Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures. Provide coaching and guidance to new starters and junior colleagues. Deliver, high quality, timely validation reports that add value to the business. Liaise with 1LOD and other model stakeholders as appropriate to ensure issues have been adequately resolved. Communicate across technical quantitative, business and strategic levels to ensure that stakeholders understand the implications of model risks and limitations. Requirements Candidate should have worked on Wholesale Credit models and have good understanding of Wholesale Credit Model Development/Validation. Candidate should have good understanding of wholesale credit analytics models used for the following areas: Model used for customer selection such as propensity recommendation, customer value, engagement, and experience. models used for pricing and measurement of profitability and return. Wholesale Fraud Analytics model used for fraud detection and reporting using analytics. Wholesale Credit Decisioning models such as acquisition and behavioural scoring models. He/she should be able to validate models used for different regulatory perspective such as OCC/FRB, EBA Guidelines and PRA regulations. Candidate should have strong knowledge on Linear/Logistic modelling techniques. Machine learning techniques good to have. Minimum 5-10 years of experience of financial model validation/development experience in Risk Management in Wholesale domain Wholesale Fraud Analytics model used for fraud detection and reporting using analytics. Proficiency in SAS / R, Python MS Office tools like Excel & PowerPoint. Experience of conducting independent model reviews. Masters / bachelors degree in / Statistics / Economic / Mathematics / Engineering / Computer Science/Management or any other quantitative fields of study.

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 *

Must have: Scala, Spark, Azure databricks, Kubernetes Note: Quantexa certification is a Must. Good to have: Python, Pyspark, Elastic, Restful APIs ROLE PURPOSE The purpose of the Data Engineer is to design, build and unit test data pipelines and jobs for Projects and Programmes on Azure Platform. This role is purposed for Quantexa Fraud platform programme, Quantexa certified engineer is a preferred. KEY ACCOUNTABILITIES Analyse business requirements and support and maintain Quantexa platform. Build and deploy new/changes to data mappings, sessions, and workflows in Azure Cloud Platform – key focus area would be Quantexa platform on Azure. Develop both batch (using Azure Databricks) and real time (Kafka and Kubernetes) pipelines and jobs to extract, transform and load data to platform. Perform ETL routines performance tuning, troubleshooting, support, and capacity estimation. Conduct thorough testing of ETL code changes to ensure quality deliverables Provide day-to-day support and mentoring to end users who are interacting with the data Profile and understand large amounts of source data available, including structured and semi-structured/web activity data Analyse defects and provide fixes Provide release notes for deployments Support Release activities Problem solving attitude Keep up to date with new skills - Develop technology skills in other areas of Platform FUNCTIONAL / TECHNICAL SKILLS Skills and Experience: Exposure to Fraud, financial crime, customer insights or compliance-based projects that utilize detection and prediction models Experienced in ETL tools like databricks (Spark) and data projects Experience with Kubernetes to deliver real time data ingestion and transformation using scala. Scala knowledge would be highly desirable, Python knowledge is a plus Strong knowledge of SQL Strong Analytical skills Azure DevOps knowledge Experience with local IDE, design documentations, Unit testing.

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