Company Description :
Gramener - A Straive Company is a design-led data science firm that helps solve complex business problems with compelling data stories using insights and a low-code analytics platform.
Gramener has over 200+ clients worldwide, 250+ employees, and is present in 4 global locations, including the United States, Canada, India, and Singapore. The company's services and technology have been recognized by analysts such as Gartner and Forrester.
Role Description :
- This is a full-time hybrid role for a Fraud Strategy professional at Gramener.
- The role is located in Hyderabad as Hybrid work.
- The Fraud Strategy professional will be responsible for developing fraud prevention strategies, managing chargebacks, conducting fraud investigations, and utilizing analytical skills to mitigate risks.
Job requisition : EXP : 5+ Yrs
Location : Hyderabad / Noida / Gurugram
Job Mode : Hybrid
Job Type : Full time
Shift timings : 6PM IST to 3 : 00 AM (IST)
Mandatory Requirements :
Candidates must have strong end-to-end experience in Fraud Analytics.Extensive expertise in Fraud Detection and Fraud Strategy is essential.Must be proficient in developing fraud rules.Prior experience in USA Banking (BFS companies) is required.Strong proficiency in data analytics tools : Python, SQL.Moderate experience in Machine Learning concepts / algorithms is acceptable.Shift Timing : 6 PM - 3 AM (Night Shift).
Preferred Location : Hyderabad (first priority), followed by Noida / Gurugram.
Job Description :
Roles and Responsibilities :
Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including first-party and third-party fraud).Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences.Develop Fraud rules on workflow systemsDevelop fraud reports for ongoing monitoring of fraud events.Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review.Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures.Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.Skills Required :
Bachelor's degree in engineering, technology, computer science or related field.5+ years of proven data analytics experience in fraud prevention, risk management, or a related fieldFamiliarity with fraud detection software, risk assessment methodologies, and regulatory compliance.Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.Detail-oriented with a proactive mindset toward problem-solving and risk mitigation.Ability to work collaboratively in a cross-functional team environmentref : hirist.tech)
