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The Email Marketing Specialist will create and manage email campaigns, set up workflows, analyze performance and optimize strategies for customer acquisition and engagement. Responsibilities include executing campaigns in HubSpot, automating processes, conducting A/B tests, and collaborating on integrated marketing strategies.

As a CRM Manager at Teya, you will lead customer communication strategies, focusing on email marketing campaigns, optimization through A/B testing, and analysis of campaign performance. You will play a key role in launching new products and ensuring a seamless customer experience.

The Field Sales Executive will proactively source leads and engage SME businesses to offer Teya's payment solutions. Responsibilities include conducting product demonstrations, closing sales, and building client relationships. This role offers nationwide flexibility and emphasizes a consultative sales approach.

As a Backend Software Engineer at Teya, you will own the full feature development lifecycle, focusing on designing and maintaining scalable and efficient backend systems. You will collaborate with cross-functional teams, enhance existing systems, and contribute to process improvements in a dynamic environment.

As a Customer Onboarding & Monitoring Analyst, you will conduct customer KYC/KYB due diligence, ensuring compliance with regulations while performing thorough screening and periodic reviews. You'll collaborate with teams, utilize transaction monitoring software, and contribute to financial crime investigations and reporting.

As a Customer Onboarding & KYC Analyst at Teya, you will conduct thorough due diligence of KYC/KYB, monitor customer activities, and ensure compliance with regulations. Responsibilities include performing ongoing transaction monitoring, preparing AML training materials, and conducting Enhanced Due Diligence investigations. You will work collaboratively with teams to provide necessary documentation and support financial crime prevention efforts.

The Data Engineer will design, develop, and implement upgrades to legacy data solutions, maintain ETL flows, ensure data reliability, manage stakeholder expectations, and build data models on complex datasets. They will also work collaboratively within a strong Data Engineering team to create a scalable Data Platform.