Fraud Analytics Specialist | Data Analysis, Fraud Detection Rules, SAS & Python, Large Data Sets

Job Summary

Synechron is seeking an experienced Fraud Analytics Strategist to lead the development and implementation of fraud detection and prevention strategies within the organization. This position involves analyzing large datasets developing sophisticated fraud rules and supporting the deployment of these strategies in fraud management platforms. The successful candidate will leverage extensive expertise in fraud risk systems data analysis and visualization to reduce fraud losses while maintaining an optimal customer experience and operational balance. This role plays a critical part in safeguarding the organizations assets reputation and compliance.

Software Requirements

Required:

• Proficiency with fraud risk management tools such as Falcon FM SAS FM FICO Blaze MasterCard Brighterion MasterCard DI and VRM.

• Strong expertise in SQL for data extraction query optimization and data manipulation.

• Skilled in Python and R for data analysis model development and automation.

• Experience with Excel VBA for advanced data processing and reporting.

• Familiarity with data visualization tools and techniques for presenting insights to stakeholders.

• Knowledge of data security practices and regulatory compliance standards (GDPR PCI DSS etc.).

Preferred:

• Experience deploying fraud models in production systems.

• Exposure to big data environments such as Spark or Hadoop.

• Familiarity with APIs and integrating fraud rules into fraud management platforms.

• Knowledge of cloud platforms like AWS (S3 EC2 Lambda) or Azure for data processing and deployment.

Overall Responsibilities

• Develop and refine fraud detection strategies rules and models based on data insights.

• Analyze large volumes of transactional and behavioral data to identify fraud patterns and anomalies.

• Support testing deployment and tuning of fraud detection models on fraud management platforms.

• Conduct root cause analysis of fraud cases provide insights and recommend process improvements.

• Collaborate with cross-functional teams including data science IT and business units to ensure timely and effective fraud mitigation.

• Ensure data quality security and compliance in all analytics processes.

• Monitor evaluate and report on fraud detection performance metrics; suggest enhancements.

Performance outcomes:
Achieve measurable reductions in fraud losses optimize fraud detection accuracy and enhance operational efficiency with minimal false positives.

Technical Skills (By Category)

Programming Languages:

• Essential: SQL Python R

• Preferred: SAS Java

Data & Data Management:

• Experience with large databases (SQL NoSQL) data modeling and data validation techniques.

Fraud & Risk Systems:

• In-depth knowledge of fraud detection platforms such as Falcon FM SAS FM FICO Blaze BrightKey or VRM.

Analytics & Model Development:

• Expertise in statistical analysis anomaly detection machine learning modeling and pattern recognition.

Cloud Technologies:

• Preferred: AWS (S3 Lambda EC2) Azure or other cloud services for data security and deployment.

Tools & Libraries:

• Data analysis and visualization: Pandas NumPy Matplotlib Seaborn Tableau (preferred).

• Automation: Python scripting API integration.

Security & Compliance:

• Understanding of data encryption role-based access and compliance standards.

Experience Requirements

• Minimum of 7 years supporting fraud risk management analytics or related functions within financial services or enterprise environments.

• Proven experience developing validating and deploying fraud detection rules and models.

• Demonstrated success in analyzing large datasets identifying fraud patterns and supporting model deployment.

• Experience working with cross-functional teams including data scientists IT and business units.

Day-to-Day Activities

• Analyze transactional data to identify fraud trends and suspicious activities.

• Develop test and implement predictive rules and models for fraud detection.

• Support the deployment of fraud detection systems and continuously optimize for performance.

• Conduct root cause analysis on fraud cases to improve detection strategies.

• Collaborate with data and software teams to upgrade fraud management platforms.

• Monitor system performance review alerts and adjust rules as needed.

• Generate reports on fraud trends detection accuracy and system performance for senior management.

Qualifications

• Bachelors or Masters degree in Technology Statistics Mathematics Data Science or equivalent.

• 7 years of experience in fraud analytics risk management or related analytics functions.

• Proven experience working with fraud detection tools complex queries and big data.

• Certifications in fraud prevention data analysis or related fields are a plus.

• Strong presentation communication and stakeholder management skills.

Professional Competencies

• Critical thinking for analyzing fraud patterns and assessing risk.

• Leadership and mentoring skills to guide junior analysts and teams.

• Effective communication skills to translate technical findings into actionable insights.

• Adaptability to new threats technologies and regulatory standards.

• Ownership and accountability for fraud mitigation initiatives.

• Time management skills for prioritizing investigations and reporting deadlines.

SYNECHRONS DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.

All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.

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