Data Scientist

About Straive:-

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers.

Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Roles and Responsibilities:

• Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, 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 systems
• Develop 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.
• years of proven data analytics experience in fraud prevention, risk management, or a related field
• candidate will possess Fraud Mitigation, first party fraud, Transactional Fraud, merchant fraud, digital fraud detection.
• Strong experience with Python and SQL.
• Familiarity 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 environment.