Fraud Strategy Analyst

Job Role: Fraud Strategy Analytics

Years of Experience: 2 to 10 years

Shift Timing: 1:00PM IST to 10:00PM IST

Location : Gurugram /Bangalore/Hyderabad/Mumbai

Work mode-Hybrid-2 days in office

About Straive:

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.

Role Overview:

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.

Key Responsibilities:

• 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.
• Investigate suspicious activities and transactions, determine root causes, and develop strategies/statistical models to prevent recurrence.
• 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.

Required Skills & Qualifications:

• 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.).
• Excellent problem-solving, analytical, and investigative skills.
• Strong communication and presentation skills with the ability to convey complex data insights to non-technical stakeholders.

“Straive is an Equal Opportunity Employer. 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. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”