Fraud Analyst

Job Description

Job Summary Looking for a Python Fraud Analyst || Bangalore/Gurgaon/Hyderabad to join a team of rockstar developers. The candidate should have a min of 4 years of experience. About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas. Key Responsibilities: Develop and implement fraud detection models using Python and machine learning techniques. Analyze large datasets to identify patterns and anomalies related to fraudulent behavior. Collaborate with fraud investigation teams to translate business problems into analytical solutions. Create dashboards and visualizations using Power BI to track fraud KPIs and trends. Write and optimize SQL queries for data extraction and transformation. Conduct root cause analysis on detected fraud and suggest process improvements. Stay current with the latest fraud trends, tools, and regulatory requirements in the banking industry. Must-Have Skills: 4–8 years of experience in fraud analytics , specifically in the banking or financial services sector. Strong programming skills in Python for data manipulation and model building. Proficiency in SQL for querying and managing large datasets. Experience with Power BI for dashboard development and data visualization. In-depth understanding of fraud detection methodologies, anomaly detection, and risk scoring. Why Join CodeVyasa? Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage. Here's a glimpse of what life at CodeVyasa looks like Life at CodeVyasa. Show more Show less