Join our Analyst team. Help drive our world-class threat monitoring and fraud
detection platform securing organization funds, in the B2B payment process.
Be an integral part and lead a team of analysts, work with customers and key
POCs, to provide an additional level of security and confidence by leveraging unique
intelligence feeds, threat logs, and IOCs. Collaborate with Research and R&D teams
as you help shape our product, help customers be more secure, and immerse
yourself to the cyber fraud tech ecosystem.
Responsibilities
Lead the analyst team and manage the day-to-day operations
Work with the team and additional stakeholders to develop AI based tools that will improve the analysts day-to-day operations
Adjust analysts procedures and routines to the changing landscape of fraud detection and the product evolution
Proactively monitor and review threats and suspicious events from our customers. Ensure the customers are aware of the threat and assist them in taking proactive action
Proactively monitor customers data flow. Ensure our coverage is as complete as it gets and we have the access to all the data sources
Investigate alerts, triage, deep dive, and produce proper action items and remediation plans.
Provide insights to customers about their invoicing and payment processes, helping them improve the process and avoid financial loss. Prepare data analysis to customers business review meetings
Maintain excellent customer satisfaction through professional, proactive and personal service
Work closely with our research and development teams to improve our product
Contribute to our knowledge base by creating fraud analysis reports and best practices
detection platform securing organization funds, in the B2B payment process.
Be an integral part and lead a team of analysts, work with customers and key
POCs, to provide an additional level of security and confidence by leveraging unique
intelligence feeds, threat logs, and IOCs. Collaborate with Research and R&D teams
as you help shape our product, help customers be more secure, and immerse
yourself to the cyber fraud tech ecosystem.
Responsibilities
Lead the analyst team and manage the day-to-day operations
Work with the team and additional stakeholders to develop AI based tools that will improve the analysts day-to-day operations
Adjust analysts procedures and routines to the changing landscape of fraud detection and the product evolution
Proactively monitor and review threats and suspicious events from our customers. Ensure the customers are aware of the threat and assist them in taking proactive action
Proactively monitor customers data flow. Ensure our coverage is as complete as it gets and we have the access to all the data sources
Investigate alerts, triage, deep dive, and produce proper action items and remediation plans.
Provide insights to customers about their invoicing and payment processes, helping them improve the process and avoid financial loss. Prepare data analysis to customers business review meetings
Maintain excellent customer satisfaction through professional, proactive and personal service
Work closely with our research and development teams to improve our product
Contribute to our knowledge base by creating fraud analysis reports and best practices
Requirements:
Hands-on approach to problem-solving
At least 2-3 years of experience in team management (Overseas team management experience – Advantage)
At least 2 years of experience with one or more of the following: Finance / Accounting / Fraud / Risk
Exceptional analytical skills, creative out-of-the-box thinking, and analytical mindset with research orientation
Experience in working with AI automation tools
Experience working with ELK stack, Tableau, mongoDB & ArangoDB
Experience working with Databases & writing SQL queries
Experience in building simple tools with python
Excellent written and verbal communication skills
Fluent English
Experience working rule engines – Advantage
Experience with incident response, and computer forensic investigations – Advantage
Hands-on approach to problem-solving
At least 2-3 years of experience in team management (Overseas team management experience – Advantage)
At least 2 years of experience with one or more of the following: Finance / Accounting / Fraud / Risk
Exceptional analytical skills, creative out-of-the-box thinking, and analytical mindset with research orientation
Experience in working with AI automation tools
Experience working with ELK stack, Tableau, mongoDB & ArangoDB
Experience working with Databases & writing SQL queries
Experience in building simple tools with python
Excellent written and verbal communication skills
Fluent English
Experience working rule engines – Advantage
Experience with incident response, and computer forensic investigations – Advantage
This position is open to all candidates.
