114 Fraud Analytics Jobs - Page 5

Detect, analyze & prevent fraudulent activities; monitor transactions; assist in investigations; maintain fraud detection systems Monitor transactions & activities to identify potential fraud pattern Fraud investigation for Credit Cards & Debit Cards Required Candidate profile Graduate with 2-3 years of Exp in Fraud Detection, Fraud Investigation Proficient in Excel, Data Analysis Tools & Fraud Monitoring Systems Excellent Communication Skills info.aspiringmantra@gmail.com

Job Description: Fraud Analyst Position: Fraud Analyst Department: Risk Management / Compliance Reports To: Fraud Prevention Manager / Risk Manager Job Summary: The Fraud Analyst is responsible for identifying, investigating, and mitigating fraudulent activities across the organization. This role involves analyzing transaction data, monitoring accounts for suspicious behavior, and working closely with other departments to ensure the integrity and security of company assets. The ideal candidate will have strong analytical skills, a keen attention to detail, and experience in fraud detection and prevention. Key Responsibilities: Fraud Detection & Prevention: Monitor transactions and accounts for unusual or suspicious activities. Identify and analyze potential fraud patterns using data analysis tools and techniques. Implement fraud detection tools and maintain the fraud monitoring systems. Respond to alerts and investigate cases of suspected fraud. Investigation & Reporting: Conduct thorough investigations into suspicious transactions or activities. Gather and analyze evidence to support fraud detection and prevention efforts. Document findings and prepare detailed reports on fraudulent activities for management or law enforcement. Maintain an up-to-date record of fraud cases and investigations. Collaboration & Communication: Collaborate with cross-functional teams, such as customer service, compliance, and IT, to address and prevent fraud. Work closely with legal teams in cases that require external action or reporting. Communicate findings and recommendations effectively to senior management. Risk Mitigation: Assist in the development of strategies and protocols to prevent and mitigate fraud risks. Recommend and help implement process improvements and fraud detection mechanisms. Stay updated on the latest fraud trends, emerging threats, and industry best practices. Regulatory Compliance: Ensure that fraud detection practices comply with industry standards, regulations, and legal requirements. Stay informed of relevant laws and regulations related to fraud prevention, privacy, and data protection. Continuous Improvement: Continuously analyze and assess fraud detection tools and practices for effectiveness. Suggest improvements to fraud risk management strategies based on industry trends and case studies. Qualifications & Skills: Education: Bachelors degree in Business, Finance, Criminal Justice, or a related field (or equivalent work experience). Experience: 1+ years of experience in fraud analysis, risk management, or a related field. Experience with fraud detection software and data analytics tools is preferred. Skills: Strong analytical and investigative skills. Attention to detail with the ability to identify anomalies in data. Familiarity with fraud detection systems and risk management software. Knowledge of relevant legal and regulatory requirements (e.g., GDPR, PCI DSS). Strong communication skills (both written and verbal). Ability to work independently and handle multiple tasks simultaneously. Preferred Qualifications: Experience in the finance, banking, or e-commerce industries. Certification in fraud prevention or risk management (e.g., CFE, CRP) is a plus. Familiarity with machine learning or AI-based fraud detection systems is a bonus. Working Conditions: Full-time position; Rotational Shift work depending on business needs. Salary will be based on experience. US shifts. 5 Days working, 2 Days off. Immediate joiners preferred. Interview Process : HR Round: Focuses on evaluating cultural fit, communication skills, and basic qualifications. Expect questions about your background, motivation, and career goals. Assessment: Tests your technical abilities, including data analysis, fraud detection, and problem-solving. You may be given a case study or real-life scenarios to solve. Operations Round: Assesses your practical knowledge of fraud detection and operational processes. Youll be evaluated on how you handle fraud cases and collaborate with cross-functional teams. Client Round: Focuses on your ability to communicate fraud-related information to clients. You'll be evaluated on client handling, explaining complex issues, and maintaining professionalism. How to Apply : Interested candidates can contact HR, Zulfi , on 9945093145 . Please send your updated resumes to Zulfi.Bmm@firstsource.com. Shortlisted candidates will hear from us as quickly as possible. We look forward to receiving your applications and potentially having you join our dynamic team! Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Key Responsibilities: Respond to cases generated by the Fraud Management System (FMS) and investigate suspicious activities. Address internal and external information requests within agreed service levels and escalate issues where necessary. Analyze data to identify emerging fraud trends, patterns, and threats. Support fraud awareness training across departments and stay updated on industry trends. Review internal processes to ensure they remain effective against evolving fraud tactics. Work rotational shifts, including evenings and weekends, to ensure continuous support for business needs. Key Skills & Experience: 2+ years of experience in fraud investigation , preferably within the communications industry. Strong knowledge of fraud prevention strategies and Sky's products and services. Ability to work under pressure, meet deadlines, and ensure accuracy in real-time decisions. Proactive, self-motivated, and proficient in Microsoft Office with a keen interest in process improvement. Strong attention to detail and a clear investigative mindset to identify root causes of fraud. High personal integrity and professionalism when dealing with sensitive information. Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses. Additional Information: Rotational shifts and weekends off . Salary up to 5 LPA. CARRY 2 CV PRINTS WITH "HR MANSI" ON IT. CONTACT DETAILS- HR MANSI - 9008962148CARRY 2 CV PRINTS WITH "HR MANSI" ON IT.

Entity :- Accenture Strategy & Consulting 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. Qualifications 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 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 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. Travel:Willingness to travel up to 40% of the time Professional Development Skills:Project Dependent Who we are looking for? 7+ 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: 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

Dear Candidate, We are hiring for Fraud Analyst Bengaluru Location. Any graduate can apply (To Confirm Please Drop a Whatsapp or call on 9821610745 Anjali ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9821610745 Anjali ) Fraud Associate Band 3 What you will do: 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. (To Confirm Please Drop a Whatsapp or call on 9821610745 Anjali ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9821610745 Anjali ) Regards SPARK CONSULTANCY

Job Summary: Analyze financial transactions and account activity to detect unusual or suspicious patterns. Conduct in-depth investigations into potential fraud, including gathering and evaluating evidence. Perform comprehensive 360 fraud reviews triggered by system threshold violations for various fraud types (ATO, PTO, TOA, ID Theft, First Party Fraud, etc.). Detect and mitigate fraud in core banking, payments, and account opening; address issues like ATO, P2P fraud, ACH/check kiting, and wire fraud. Investigate whistleblower complaints involving account hijacking, transactional fraud, and suspicious fund transfers. Combine retrospective analysis with current fraud control assessments to implement real-time fraud strategies. Coordinate with internal and external stakeholders for full alert lifecycle reviews, including SAR filings. Analyze data trends to recommend next steps: closure, reimbursement, or escalation. Classify fraud types and apply appropriate mitigation per policies and procedures. Qualifications: Experience in fraud detection, investigations, and transaction monitoring. Strong research, analytical, and decision-making skills. Proficiency in MS Office; familiar with financial systems. Attention to detail in maintaining case records and ensuring legal compliance. Education: Bachelors in Commerce, Computer Science, or equivalent (preferred). Master’s/MBA (preferred). Certifications (Preferred): CFE, CAMS, CRP Location: Hyderabad / Bangalore

Roles and Responsibilities Develop credit risk or fraud risk models using Python, 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 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

Role & responsibilities A Fraud Strategist focuses on defining the overall fraud prevention framework, policies, and strategies. Instead of building models, they use insights from data scientists to develop rules and strategies for approving or declining transactions. Key Responsibilities: Create fraud detection strategies based on insights from fraud models. Define policies to minimize fraud while maintaining a good customer experience. Decide on approval or decline criteria for transactions based on risk scores. Work closely with Data Scientists to improve fraud detection models. Defines fraud prevention policies Rule-based decision-making Decision Engines, Risk Frameworks Approves or declines transactions

Hiring Fraud Analyst for India's Leading ITES Company 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. Eligible candidates can connect with me : 6395331676, 7290845078

Roles and Responsibilities: • Design, develop, and deploy machine learning models to detect and prevent fraudulent activities, such as Merchant Fraud, transactional fraud, account takeover, and identity theft • Work with large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity • Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud). • Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. • Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Skills Required: • Bachelor's degree in engineering, technology, computer science or related field. • 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field • Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. • Strong experience in developing Machine Learning models, Python and SQL. • Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. • Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. • Ability to work collaboratively in a cross-functional team environment.

Role & responsibilities The Senior Data Analyst will be tasked with the following: Collaborate with the enforcement team to access and understand the data available for analysis. Clean and integrate relevant data into analytical tools for data mining and trend analysis to identify patterns, trends, and risks. Develop risk scoring and prioritization criteria based on traffic volumes, content availability, time to takedown, and other factors important to our clients. Curate prioritized lists of targets worth investigating based on the analysis and explain the rationale behind each selected target. Collaborate with the investigations team to review and refine target lists. Continuously improve data analytics processes and methodologies to enhance efficiency and effectiveness. Preferred candidate profile The Special Investigations team is currently based in Brazil and the USA. Due to the time difference, the ideal candidate will be independent, proactive, and capable of working with minimal supervision. They are expected to be flexible to attend meetings during evening hours in India. More specifically, the Senior Data Analyst will thrive if they have the following qualifications and experience: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 5 years of experience in data analytics, of which at least 2 years in anti-piracy. Demonstrated experience in building and executing new processes. Proficient in data cleaning, data mining, trend analysis, and risk scoring using analytical tools such as Power BI, Tableau, and advanced Excel functions. Technical skills like programming languages (Python, R) or database management (SQL) are a plus. Demonstrated ability to hit the ground running and take ownership, driving projects forward with minimal guidance. Excellent written and verbal communication skills in English. Resourceful problem-solving skills and an innate attention to detail. A passion for intellectual property protection and a strong ethical compass. This position is exclusively available at our New Delhi office.

Urgent Hiring for MNC for Analytics role, which includes- Model Development/Model Validation Data Analytics Data Manager/Data Modeler Risk Strategy/Analytics Market Risk/Credit Risk SAS/Python Exposure Kindly send your updated CV at jatin@smrd.in

Experience of customer service for fraud and risk related in non-voice process Experience in end-to-end Fraud investigation on bank accounts, transactions, check deposits and cards fraud Ensuring compliance with regulatory standards. Required Candidate profile Commitment and drive for results Reasoning and analytical Identify fraud trends, make recommendations for new strategies to prevent additional loss Must Be Graduate Should have excellent comms skills

Job Role: Fraud Analytics Years of Experience: 3 to 14 years Shift Timing: 1:00PM IST to 10:00PM IST Location : Gurugram, Hyderabad, Bangalore, Noida, Chennai,kolkata,Mumbai Work mode-Hybrid-2 days in office About Straive:- Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Roles and Responsibilities: Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first-party and third-party fraud). Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences. Develop Fraud rules on workflow systems Develop fraud reports for ongoing monitoring of fraud events. Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Skills Required: Bachelor's degree in engineering, technology, computer science or related field. 3+ years of proven data analytics experience in fraud prevention, risk management, or a related field Good experince with Python and SQL Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. Ability to work collaboratively in a cross-functional team environment. Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”