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.”