Fraud Analytics Consultant - Financial Services (4-10 yrs)

My Client is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Job Title: Fraud Analytics Consultant

Location: Bangalore, Hyderabad, Noida, Chennai

Job Overview:

We are seeking a detail-oriented and analytical Fraud Analyst to join our Fraud Prevention team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and fraud detection techniques. The Fraud Analyst will be responsible for identifying, analyzing, and mitigating fraudulent activities across various channels, ensuring the safety and security of our customers and business operations.

Key Responsibilities:

Fraud Detection and Analysis:

- Monitor and analyze transactions and activities to identify suspicious patterns indicative of fraudulent behavior.

- Utilize advanced analytics, machine learning, and statistical models to detect and predict fraud.

Investigation and Reporting:

- Conduct thorough investigations of suspected fraud cases, gathering and analyzing relevant data and evidence.

- Prepare detailed reports on fraud cases, trends, and mitigation strategies, and present findings to senior management.

Data Analysis and Modeling:

- Develop and maintain fraud detection models, scorecards, and rules using statistical software and programming languages (e.g., Python, R, SQL).

- Continuously improve fraud detection algorithms and systems based on new fraud patterns and trends.

Collaboration and Strategy Development:

- Work closely with other departments, such as Risk Management, Compliance, and Customer Service, to develop and implement effective fraud prevention strategies.

- Provide insights and recommendations to enhance fraud detection and prevention measures.

Compliance and Documentation:

- Ensure compliance with regulatory requirements and internal policies related to fraud detection and prevention.

- Maintain accurate and comprehensive documentation of fraud detection methodologies, investigations, and decisions.

Skills:

- Minimum of 4-8 years of experience in fraud analysis, data analysis, risk management, or a related field.

- Proficiency in statistical software and programming languages (e.g., Python, R, SQL) and data visualization tools (e.g., Tableau, Power BI).

- Experience in the financial services industry or a similar environment is preferred.

- Strong analytical and quantitative skills with the ability to interpret complex data.

- Excellent problem-solving and critical-thinking abilities.

Education:

- Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field. A Master's degree or relevant certification (e.g., CFE, CFCS) is a plus.