Fraud Prevention Analyst
Company Name: Etech Global Services LLC
About Company:
Etech delivers next-generation BPO solutions. A global minority-owned business, Etech has created and trademarked how to turn your data into strategic insights. Leveraging the power of artificial plus human intelligence Etech enhances training and coaching to focus on critical behaviors creating improved customer experiences and shareholder value.
Etech launched in 2003 with only 400 employees and a single contact center in Nacogdoches, Texas. Over the last 20 years, we have expanded our range of services and have grown to include more than 50 global partnerships, 3,600 employees, and nine state-of-the-art contact centers with six U.S., one nearshore, and two offshore locations. With over 100 million voice interactions, 25 million chat & email interactions, and 24 million quality monitoring evaluations per year, Etech has the flexibility and scalability to partner with organizations of all sizes.
Position: Fraud Prevention Analyst
Role: Data Analyst
Experience: 0 to 2 Years
Job Location: Vadodara, Gujrat
ELIGIBILITY CRITERIA:
Qualification: B.E/B.TECH, BCS, BCA, MCA
Pass out Year: 2023/2024
Percentage Criteria: NA
Candidates Should Be Ready To Relocate To Gujrat If Selected
Approx. Package: Up to Rs. 4,20,000/- Per Annum. (Based On Interview Performance & Exp)
Roles & Responsibilities:
1. Data Analysis and Monitoring
Analyze large volumes of transaction data to identify unusual patterns, discrepancies, or anomalies.
Develop algorithms or use existing fraud detection tools to monitor transactions in real-time.
Perform detailed investigations into flagged transactions and behaviors.
Identify trends and emerging fraud techniques and adapt prevention methods accordingly.
2. Fraud Detection
Use statistical methods, machine learning, and data mining techniques to develop models for fraud detection.
Review flagged transactions to determine if they are legitimate or fraudulent.
Collaborate with other teams to implement and fine-tune fraud detection systems.
3. Reporting and Documentation
Create detailed reports on suspicious activities and trends for senior management or other departments.
Document investigation processes, findings, and outcomes of fraud cases.
Provide insights to decision-makers on areas of high risk or fraudulent activity.
4. Collaboration with Other Departments
Work closely with compliance, risk management, legal, and security teams to ensure that fraud detection strategies align with company policies and regulations.
Collaborate with other departments (such as IT or customer service) to implement security measures and improve fraud detection systems.
5. Fraud Prevention Strategy Development
Develop and implement effective fraud prevention strategies and protocols to mitigate risks.
Recommend improvements in fraud detection and prevention tools, such as implementing more advanced algorithms or refining existing ones.
6. Data Visualization and Reporting Tools
Utilize data visualization tools to present findings in an understandable and actionable format.
Create dashboards and reports that provide real-time insights into fraud risks and trends.
7. Continuous Improvement
Regularly review and refine fraud detection models and algorithms to improve accuracy and efficiency.
Stay updated on emerging fraud trends, new tools, and best practices in fraud detection and prevention.
Skills Required
1. Analytical Skills
Data Analysis: Ability to analyze large datasets and detect unusual patterns or anomalies that might indicate fraud.
Critical Thinking: Ability to evaluate situations from multiple angles, identify potential fraud risks, and think creatively to develop prevention strategies.
Attention to Detail: Precision in identifying discrepancies or irregularities within vast amounts of data.
2. Technical Skills
SQL: Knowledge of SQL to query databases and extract relevant data for analysis.
Data Visualization Tools: Proficiency in tools like Tableau, Power BI, or Excel to create reports, dashboards, and data visualizations for decision-making.
Programming Skills: Familiarity with programming languages like Python or R, especially for data analysis, machine learning model development, or automation of fraud detection tasks.
Fraud Detection Software: Experience with fraud detection tools and platforms (e.g., Actimize, SAS, Kount) that are designed to monitor and analyze transactions for suspicious activities.
Machine Learning/AI: Understanding of machine learning algorithms and how they can be applied to detect fraud patterns and automate fraud detection.
3. Knowledge of Fraud Techniques and Red Flags
Fraud Schemes and Patterns: Knowledge of common fraud schemes (e.g., identity theft, account takeover, payment fraud) and typical behavioral red flags that indicate fraud.
Emerging Fraud Trends: Awareness of the latest fraud trends and techniques, including new methods fraudsters may use.
Risk Assessment: Ability to identify and evaluate potential risks based on fraud trends, history, and external threats.
4. Problem-Solving Skills
Investigative Ability: Proficient in investigating suspicious transactions, using analytical methods to uncover hidden fraud patterns.
Solution-Oriented: Ability to think quickly and come up with practical solutions when faced with new or unforeseen fraud scenarios.
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