Senior Analyst Fraud and Scams
1 day ago
Location: Bangalore
Experience: 6 - 9 Years
CTC: LPA
Notice Period: Immediate to 15 Days
Role Overview
As a Senior Analyst Fraud and Scams, you will play a key role in protecting customers and financial systems from fraud and scam activities within the BFSI sector. You will contribute to the design, enhancement, and execution of advanced fraud analytics strategies, working within a team that supports one of the largest real-time transaction monitoring platforms, processing millions of transactions every day.
This role provides a unique opportunity to apply advanced analytics, statistical techniques, and machine learning approaches to strengthen fraud detection capabilities while influencing business decisions and improving customer safety at scale.
Key Responsibilities
- Design, develop, and maintain data features used in fraud and scam detection models.
- Enhance and optimize analytical scripts to improve feature accuracy, stability, and performance.
- Perform deep-dive analysis on large, complex datasets to identify fraud patterns, emerging scam typologies, and anomalies.
- Collaborate with analytics teams to ensure effective implementation of fraud detection strategies.
- Work closely with Data Scientists and rule writers to translate analytical insights into actionable fraud controls.
- Use self-service analytics tools to schedule, monitor, and maintain scripts for ongoing fraud monitoring and reporting.
- Apply knowledge of fraudster behavior and scam psychology to improve detection logic and reduce false positives.
- Support validation, testing, and deployment of analytics assets in real-time and near real-time environments.
Analytics & Technical Skills
- Strong hands-on experience with Python, SQL, and advanced Excel for data analysis and modeling.
- Working knowledge of R is an added advantage.
- Experience applying statistical methods and machine learning techniques for predictive modeling and risk mitigation.
- Ability to develop, validate, and deploy predictive models to forecast trends, detect anomalies, and optimize fraud operations.
- Familiarity with AI-enabled tools or virtual assistants to enhance analytical productivity.
- Understanding of data engineering concepts, including data pipelines and feature generation, is beneficial.
Required Experience & Competencies
- 6+ years of experience in Data Analytics, preferably within fraud, risk, compliance, or BFSI domains.
- Strong analytical mindset with the ability to solve complex problems creatively and independently.
- Demonstrated understanding of fraud and scam behaviors, tactics, and evolving threat patterns.
- Proven ability to collaborate effectively with cross-functional stakeholders and senior leadership.
- Strong communication skills to translate complex analytical findings into actionable business insights.
- Ability to work in fast-paced, high-volume, real-time analytics environments.
Education
Bachelor's or Master's degree in a numerate, engineering, or IT-based discipline, such as:
Computer Science
- Data Science
- Statistics
- Applied Mathematics
- Actuarial Science
- Information Technology
Why Join Us
- Work on large-scale, real-time fraud and scam detection systems with enterprise-wide impact.
- Collaborate with experienced analytics and data science professionals in a mission-critical environment.
- Gain exposure to advanced fraud analytics, machine learning applications, and modern data platforms.
- Make a meaningful difference by protecting customers and strengthening financial security.
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