315 Fraud Detection jobs in India

• Conduct in-depth investigations into potentially fraudulent insurance claims from initiation to resolution.
• Analyze claim documents, policy details, and supporting evidence to identify red flags and inconsistencies.
• Interview claimants, witnesses, and other parties involved in a claim, utilizing effective questioning techniques.
• Gather and preserve evidence, including documentation, statements, and digital records.
• Collaborate with law enforcement agencies and legal counsel when necessary.
• Prepare detailed and accurate investigative reports, summarizing findings and providing recommendations.
• Utilize specialized databases and investigative tools to research individuals, businesses, and claim histories.
• Maintain strict confidentiality and adhere to all legal and ethical guidelines.
• Stay updated on emerging fraud trends and investigation methodologies within the insurance sector.
• Assist in the development and implementation of fraud prevention strategies.
• Manage a caseload of investigations efficiently and effectively from a remote setting.

• Bachelor's degree in Criminal Justice, Criminology, Business Administration, or a related field.
• Proven experience (3+ years) as an insurance claims investigator, fraud examiner, or in a similar investigative role.
• Strong understanding of insurance principles, claim handling procedures, and common fraud schemes.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional interviewing and interpersonal communication abilities.
• Proficiency in report writing and documentation.
• Experience with investigative databases and forensic tools.
• Ability to work independently, manage time effectively, and maintain high productivity in a remote environment.
• Unquestionable integrity and ethical standards.
• Familiarity with relevant laws and regulations concerning investigations and insurance.
• Experience in a specific line of insurance (e.g., auto, property, health) is a plus.

• Conduct forensic accounting investigations into allegations of fraud, financial misconduct, and other financial crimes.
• Analyze large volumes of financial data, including accounting records, bank statements, and transaction logs, to identify discrepancies and suspicious patterns.
• Reconstruct incomplete or altered financial records.
• Trace the flow of funds and identify assets that may be subject to recovery.
• Develop and execute detailed investigation plans.
• Prepare clear, concise, and well-supported forensic accounting reports detailing findings and conclusions.
• Interview witnesses and subjects during investigations.
• Quantify financial losses resulting from fraudulent activities.
• Assist in the development of internal controls and procedures to prevent future fraud.
• Provide expert witness testimony in court or other legal forums as required.
• Collaborate effectively with legal teams, clients, and regulatory bodies.

• Bachelor's degree in Accounting, Finance, or a related field.
• Professional certifications such as CPA, CA, CFE (Certified Fraud Examiner) are highly preferred.
• Minimum of 5 years of experience in forensic accounting, auditing, or fraud investigation.
• Proven ability to analyze complex financial data and identify irregularities.
• Strong knowledge of accounting standards, auditing principles, and investigative procedures.
• Excellent report writing and communication skills, with the ability to explain complex financial matters clearly.
• Proficiency in data analysis tools and forensic accounting software.
• High degree of integrity, discretion, and professionalism.
• Experience working in the Indore, Madhya Pradesh, IN area is advantageous.

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Create data visualizations and reports to communicate findings.
• Support data scientists and analysts in developing analytical models.
• Contribute to data quality checks and validation processes.
• Learn and apply various data analysis tools and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data analysis processes and methodologies.
• Understand business requirements and translate them into data analysis tasks.
• Develop basic skills in statistical analysis and reporting.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and principles.
• Basic understanding of data analysis and visualization techniques.
• Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal abilities.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a team environment.
• Attention to detail and accuracy.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform basic statistical analysis on datasets to identify trends and patterns.
• Create clear and concise data visualizations (charts, graphs) to communicate findings.
• Support senior analysts in developing reports and dashboards.
• Learn and apply data analysis tools and techniques.
• Contribute to data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs.
• Assist in interpreting data and providing actionable insights.
• Participate in training sessions to enhance data analysis skills.
• Document methodologies and findings for future reference.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Recent graduates with a strong academic background in quantitative subjects.
• Basic understanding of statistical concepts and methods.
• Proficiency in Microsoft Excel is required.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is a plus.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.