1,229 Fraud jobs in India

Teamware Solutions is seeking a vigilant Fraud Investigation & Detection Analyst to join our dedicated team. You'll play a critical role in safeguarding our operations and clients by identifying, analyzing, and preventing fraudulent activities. This position requires strong analytical skills, attention to detail, and a proactive approach to financial crime detection.

• Conduct in-depth investigations into suspicious transactions, activities, and accounts to identify potential fraudulent patterns and schemes.
• Utilize various fraud detection tools and systems to monitor, analyze, and interpret transactional data and user behavior.
• Develop and refine fraud detection rules and alerts within fraud monitoring platforms to enhance detection capabilities.
• Prepare comprehensive investigation reports documenting findings, evidence, and recommended actions.
• Collaborate with internal teams (e.g., Risk, Compliance, Operations, Legal) and external entities (e.g., law enforcement, financial institutions) to resolve cases.
• Stay updated on emerging fraud trends, sophisticated attack vectors, and relevant regulations to continually improve detection strategies.
• Contribute to the development and implementation of anti-fraud policies, procedures, and training.
• Assist in the recovery of losses due to fraud and support the prosecution of fraudulent actors where appropriate.

• Proven experience as a Fraud Investigator, Fraud Analyst, or Detection Analyst in a financial services, e-commerce, or risk management environment.

Skills Required:

• Strong analytical and investigative skills with a keen eye for detail and identifying anomalies.
• Experience with fraud detection methodologies, tools, and systems (e.g., rule-based engines, machine learning-driven platforms).
• Proficiency in data analysis and reporting, including advanced use of Excel, and familiarity with SQL for data extraction.
• Solid understanding of common fraud types (e.g., identity theft, account takeover, payment fraud, friendly fraud) and prevention techniques.
• Excellent communication skills (written and verbal) for report writing and collaborating with diverse stakeholders.
• Ability to handle sensitive information with discretion and maintain confidentiality.
• Strong problem-solving abilities and decision-making skills under pressure.

Preferred Skills:

• Certification in Fraud Examination (CFE) or other relevant anti-fraud certifications.
• Experience with big data analytics tools (e.g., Splunk, Hadoop) for large datasets.
• Knowledge of relevant regulations and compliance requirements (e.g., AML, KYC, PCI DSS).
• Familiarity with link analysis tools or data visualization software for complex investigations.

Black And White Business Solutions is actively seeking a highly skilled Senior Process Executive with expertise in AML (Anti-Money Laundering) and KYC (Know Your Customer) processes, specifically within Fraud Detection . The ideal candidate will possess a strong background in the BFSI domain and a keen eye for detail, contributing significantly to our financial crime prevention efforts. You will be responsible for meticulously reviewing transactions, conducting due diligence, and identifying suspicious activities to ensure regulatory compliance and safeguard against financial crime.

• AML Transaction Monitoring : Expertise in monitoring and analyzing customer transactions to identify unusual patterns or behaviors indicative of potential money laundering or other illicit financial activities.
• KYC Due Diligence (CDD/EDD) : Strong understanding and practical experience in conducting Customer Due Diligence (CDD) for standard risk profiles and Enhanced Due Diligence (EDD) for higher-risk individuals or entities, involving in-depth background checks and verification.
• Compliance Screening : Proficiency in screening customers and transactions against various sanctions lists, watchlists, and Politically Exposed Persons (PEP) databases to identify potential risks.
• Regulatory Knowledge (BSA/USAPA) : Solid understanding of key anti-money laundering regulations, particularly the Bank Secrecy Act (BSA) and potentially the USA PATRIOT Act , and their implications for financial institutions.
• Strong Research & Documentation : Excellent ability to conduct thorough research using various internal and external tools, synthesize complex information, and maintain clear, comprehensive, and audit-ready documentation for all investigations and findings.
• Fraud Detection : Demonstrated capability to identify, investigate, and mitigate various types of financial fraud, recognizing red flags and suspicious indicators.

Note: Experience in the BFSI domain is a must. Preference for candidates with dedicated AML/KYC exposure .

• Review and analyze AML Transaction Monitoring, Screening, and KYC Due Diligence processes , ensuring adherence to established policies and regulatory requirements.
• Conduct CDD/EDD for a diverse range of clients, including Institutional, Retail, and SME clients, across various banking domains such as Investment Banking, Commercial Banking, and Retail Banking.
• Perform essential customer lifecycle management tasks , including initial customer onboarding, periodic reviews of existing customer profiles, remediation of identified deficiencies, and data refresh tasks to ensure ongoing compliance.
• Independently research and analyze discrepancies or anomalies discovered during monitoring or due diligence, and formulate well-reasoned recommendations for their resolution.
• Maintain well-documented case files , ensuring that all investigations, findings, and decisions are accurately recorded and readily available for audit purposes.
• Liaise effectively with internal stakeholders , including compliance, legal, and business units, to ensure the timely closure of cases and implementation of necessary actions.
• Stay continuously updated with the latest compliance standards and evolving financial crime regulations, adapting processes and knowledge as required.
• Investigate suspicious financial transactions and red flags that may indicate potential fraud, money laundering, or other illicit activities.
• Utilize internal and third-party tools to effectively trace, document, and analyze complex transaction patterns and identify underlying criminal schemes.
• Escalate confirmed fraud cases for appropriate regulatory filing, such as Suspicious Activity Reports (SARs), or for internal disciplinary action, ensuring adherence to legal and organizational protocols.

• Any Graduate (Relevant certifications in AML/KYC preferred)

• Upto 4 LPA

• Immediate

Contact: HR Deekshitha Staffing Analyst Black and White Business Solutions Pvt Ltd Bangalore, Karnataka, INDIA. Direct Number: | Email: (HIDDEN TEXT) | Website:

We are hiring for TOP MNC for Fraud Data Analytics - Fraud Investigation, Fraud Detection with Data Analytics | SQL, Tableau & Python

Location - Bangalore

Note - Must have exposure as Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention with Data Analytics

Fraud Data Analytics with SQL, Tableau, preferred to have Python based data analytics experience.

Experience - 5+Years

CTC - Up to 30LPA

NP - Immediate - 60Days

Shift Timings - General shift( In future need to be flexible as per the business)

Skill

Must have : Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention

Additional Skills : Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle,

An expert in SQL, Tableau, preferred to have Python based data analytics experience.

5+ years of Knowledge/Experience with fraud detection and fraud prevention in financial services and payment space is essential

• Experience in Fraud decision rules optimization

• 3+ years of experience in SQL queries, Tableau (and other BI tools), Git. (Academic experience counts)

• 2+ years of day-to-day use of Python and AWS (e.g. S3, EC2, EMR, Athena, and more). (Academic experience counts)

• Experience working at a FinTech or start-up is a plus

• Develop data wrangling pipelines, queries, methods enabling pattern analysis to detect new fraud trends and fraud attacks swiftly

• Work on features and rules implementation within Varo’s feature services and real-time decision engine ecosystem. This includes coding, QA, testing (e.g. security testing and load testing) to ensure accuracy and fast implementation

• Collaborate with a cross-functional team, including Data Engineering team to review data anomalies, identify data issues, and improve the analytical data preparation quality

• Strong experience working with engineering teams, including MLE to debug implementation and production issues for features and rules

• Strong experience using Git (Gitlab/Github) for code submission, version control, collaboration, and deployment

• Design, build, and maintain the interactive dashboards using Tableau to support data analysis, monitoring, and reporting

• Work with stakeholders to gather requirements, identify improvement opportunities, execute roadmap and projects

Interested candidates please share resume on below details

Share CV on:

Call to: Asha G -

We are hiring for TOP MNC for Fraud Data Analytics - Fraud Investigation, Fraud Detection with Data Analytics | SQL, Tableau & Python

Location - Bangalore

Note - Must have exposure as Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention with Data Analytics

Fraud Data Analytics with SQL, Tableau, preferred to have Python based data analytics experience.

Experience - 5+Years

CTC - Up to 30LPA

NP - Immediate - 60Days

Shift Timings - General shift( In future need to be flexible as per the business)

Skill

Must have : Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention

Additional Skills : Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle,

An expert in SQL, Tableau, preferred to have Python based data analytics experience.

5+ years of Knowledge/Experience with fraud detection and fraud prevention in financial services and payment space is essential

• Experience in Fraud decision rules optimization

• 3+ years of experience in SQL queries, Tableau (and other BI tools), Git. (Academic experience counts)

• 2+ years of day-to-day use of Python and AWS (e.g. S3, EC2, EMR, Athena, and more). (Academic experience counts)

• Experience working at a FinTech or start-up is a plus

• Develop data wrangling pipelines, queries, methods enabling pattern analysis to detect new fraud trends and fraud attacks swiftly

• Work on features and rules implementation within Varo’s feature services and real-time decision engine ecosystem. This includes coding, QA, testing (e.g. security testing and load testing) to ensure accuracy and fast implementation

• Collaborate with a cross-functional team, including Data Engineering team to review data anomalies, identify data issues, and improve the analytical data preparation quality

• Strong experience working with engineering teams, including MLE to debug implementation and production issues for features and rules

• Strong experience using Git (Gitlab/Github) for code submission, version control, collaboration, and deployment

• Design, build, and maintain the interactive dashboards using Tableau to support data analysis, monitoring, and reporting

• Work with stakeholders to gather requirements, identify improvement opportunities, execute roadmap and projects

Interested candidates please share resume on below details

Share CV on:

Call to: Asha G -

We are hiring for TOP MNC for Fraud Data Analytics - Fraud Investigation, Fraud Detection with Data Analytics | SQL, Tableau & Python

Location - Bangalore

Note - Must have exposure as Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention with Data Analytics

Fraud Data Analytics with SQL, Tableau, preferred to have Python based data analytics experience.

Experience - 5+Years

CTC - Up to 30LPA

NP - Immediate - 60Days

Shift Timings - General shift( In future need to be flexible as per the business)

Skill

Must have : Fraud Analytics, Fraud Strategy, Fraud Investigation, Fraud Detection, Fraud prevention

Additional Skills : Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle,

An expert in SQL, Tableau, preferred to have Python based data analytics experience.

5+ years of Knowledge/Experience with fraud detection and fraud prevention in financial services and payment space is essential

• Experience in Fraud decision rules optimization

• 3+ years of experience in SQL queries, Tableau (and other BI tools), Git. (Academic experience counts)

• 2+ years of day-to-day use of Python and AWS (e.g. S3, EC2, EMR, Athena, and more). (Academic experience counts)

• Experience working at a FinTech or start-up is a plus

• Develop data wrangling pipelines, queries, methods enabling pattern analysis to detect new fraud trends and fraud attacks swiftly

• Work on features and rules implementation within Varo’s feature services and real-time decision engine ecosystem. This includes coding, QA, testing (e.g. security testing and load testing) to ensure accuracy and fast implementation

• Collaborate with a cross-functional team, including Data Engineering team to review data anomalies, identify data issues, and improve the analytical data preparation quality

• Strong experience working with engineering teams, including MLE to debug implementation and production issues for features and rules

• Strong experience using Git (Gitlab/Github) for code submission, version control, collaboration, and deployment

• Design, build, and maintain the interactive dashboards using Tableau to support data analysis, monitoring, and reporting

• Work with stakeholders to gather requirements, identify improvement opportunities, execute roadmap and projects

Interested candidates please share resume on below details

Share CV on:

Call to: Asha G -

• Conduct investigations into allegations of complex fraud using specialist knowledge in interviewing techniques, document analysis and exhibit handling etc.
• Investigate and research cases and potentially suspicious situations; efficiently arriving at sound risk-based conclusions in order to minimize fraud losses.
• Prepare regulatory and investigative reports (SARs).
• Identify fraud trends and communicate observations to management.
• Identify internal procedural violations and recommend actions to mitigate reoccurrence
• Demonstrate sound judgment and decision making in the context of regulatory requirements, Bank policies, and industry best practices.
• Demonstrated Fraud management expertise and support through every step of improving anti-fraud strategy including analyzing current processes, implementing new processes, and constantly refining and improving the approach to fraud detection and prevention.
• Demonstrated knowledge of the associated processes, procedures, controls, and documentation associated with Fraud reviews