504 Fraud Analyst jobs in India

Job Role: Fraud Strategy Analytics

Years of Experience: 2 to 10 years

Shift Timing: 1:00PM IST to 10:00PM IST

Location : Gurugram /Bangalore/Hyderabad/Mumbai

Work mode-Hybrid-2 days in office

About Straive:

Straive is a leading provider of technology-driven solutions, focused on delivering innovative data, risk, and knowledge services. We are looking for a dynamic professional to join our Risk & Fraud Analytics team to design and implement fraud prevention strategies.

Role Overview:

As a Fraud Strategy Analyst, you will be responsible for analyzing data, identifying fraud patterns, and designing fraud rules and strategies to mitigate risks. This role involves close collaboration with cross-functional teams to strengthen fraud controls and support organizational growth with a strong focus on prevention, detection, and continuous improvement.

Key Responsibilities:

• Utilize advanced data analytics tools and methodologies to conduct in-depth fraud assessments and generate reports on fraud trends, including merchant fraud, first-party, and third-party fraud.
• Investigate suspicious activities and transactions, determine root causes, and develop strategies/statistical models to prevent recurrence.
• Develop and implement fraud rules on workflow systems to ensure proactive monitoring and prevention.
• Create and maintain fraud reports for ongoing monitoring of fraud events.
• Prepare reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review.
• Collaborate with risk management, operations, compliance, and other teams to strengthen fraud prevention frameworks.
• Stay updated on industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Statistics, Mathematics, Economics, Finance, Data Science, or a related field.
• 3–7 years of experience in fraud strategy, fraud analytics, or risk management (banking/financial services preferred).
• Strong expertise in data analysis, fraud detection methodologies, and rule-based strategy design.
• Hands-on experience with analytics tools (SAS, SQL, Python, R, etc.).
• Excellent problem-solving, analytical, and investigative skills.
• Strong communication and presentation skills with the ability to convey complex data insights to non-technical stakeholders.

“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.”

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

**Walk-in Interview Opportunity in Chennai**

Are you an experienced professional in Fraud Prevention, Fraud Detection, Fraud Operation? Here's your chance to showcase your expertise at Tata Consultancy Services Ltd in Chennai.

**Job Role**: Process Associate/Senior Process Associate

** Below is JOB Description**:

Responsible to review potential fraudulent transactions & activities, identify red flags & mitigate fraud.

Experience should be into Fraud Detection.

Experience with in managing fraud operations for global clients.

Experience with fraud tools (Falcon, Actimize, SAS, etc.)

Job Requirement:

Any full-time graduate (10+2+3).

Immediate joiners are preferred.

Willingness to work in night shifts.

Mode of Salary credit should be through banks from all the employers (No cash in hand)

All educational and employment documents are mandatory to have.

**Important Note**: TCS does not charge any recruitment fees at any stage. Report any unauthorized fee collection immediately. Feel free to bring along your friends!

• 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.