Collections & Fraud Analyst

1 week ago

Bangalore, India Straive Full time

Job Role: Fraud Strategy Analytics Years of Experience: 2 to 10 years Shift Timing: 1:00PM IST to 10:00PM IST Work mode-Hybrid-2 days in office Straive is a leading provider of technology-driven solutions, focused on delivering innovative data, risk, and knowledge services. We are looking for a dynamic professional to join our Risk & Fraud Analytics team to design and implement fraud prevention strategies. As a Fraud Strategy Analyst, you will be responsible for analyzing data, identifying fraud patterns, and designing fraud rules and strategies to mitigate risks. This role involves close collaboration with cross-functional teams to strengthen fraud controls and support organizational growth with a strong focus on prevention, detection, and continuous improvement. Utilize advanced data analytics tools and methodologies to conduct in-depth fraud assessments and generate reports on fraud trends, including merchant fraud, first-party, and third-party fraud. Develop and implement fraud rules on workflow systems to ensure proactive monitoring and prevention. Create and maintain fraud reports for ongoing monitoring of fraud events. Prepare reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Collaborate with risk management, operations, compliance, and other teams to strengthen fraud prevention frameworks. Stay updated on industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Bachelor’s/Master’s degree in Statistics, Mathematics, Economics, Finance, Data Science, or a related field. ~3–7 years of experience in fraud strategy, fraud analytics, or risk management (banking/financial services preferred). ~ Strong expertise in data analysis, fraud detection methodologies, and rule-based strategy design. ~ Hands-on experience with analytics tools (SAS, SQL, Python, R, etc.). ~ Strong communication and presentation skills with the ability to convey complex data insights to non-technical stakeholders. “Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential.

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