TRILLIONS EDGE

Data Scientist

• Collect, clean, and analyze large structured and unstructured datasets from multiple sources.
• Develop and implement machine learning models for fraud detection, risk scoring, identity verification, and compliance monitoring.
• Conduct statistical analysis, feature engineering, and predictive modeling to extract insights and improve product performance.
• Collaborate with engineering teams to deploy models into production at scale.
• Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness.
• Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision).
• Monitor, evaluate, and continuously improve models for performance, fairness, and compliance.
• Prepare clear documentation, dashboards, and reports to communicate findings to both technical and non-technical stakeholders.

Lead Data Scientist

• Collaborate with engineering, product, and compliance experts to build scalable data-driven solutions that improve product accuracy, efficiency, and customer outcomes.
• Collect, clean, and analyze large structured and unstructured datasets from multiple sources.
• Develop and implement machine learning models for fraud detection, risk scoring, identity verification, and compliance monitoring.
• Conduct statistical analysis, feature engineering, and predictive modeling to extract insights and improve product performance.
• Collaborate with engineering teams to deploy models into production at scale.
• Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness.
• Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision).
• Monitor, evaluate, and continuously improve models for performance, fairness, and compliance.
• Prepare clear documentation, dashboards, and reports to communicate findings to both technical and non-technical stakeholders.

• Play a critical role in designing, developing, and deploying machine learning and statistical models to solve complex business and compliance challenges.
• Collaborate with engineering, product, and compliance experts to build scalable data-driven solutions that improve product accuracy, efficiency, and customer outcomes.
• Collect, clean, and analyze large structured and unstructured datasets from multiple sources.
• Develop and implement machine learning models for fraud detection, risk scoring, identity verification, and compliance monitoring.
• Conduct statistical analysis, feature engineering, and predictive modeling to extract insights and improve product performance.
• Collaborate with engineering teams to deploy models into production at scale.
• Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness.
• Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision).
• Monitor, evaluate, and continuously improve models for performance, fairness, and compliance.
• Prepare clear documentation, dashboards, and reports to communicate findings to both technical and non-technical stakeholders.

• Collect, clean, and analyze large structured and unstructured datasets from multiple sources.
• Develop and implement machine learning models for fraud detection, risk scoring, identity verification, and compliance monitoring.
• Conduct statistical analysis, feature engineering, and predictive modeling to extract insights and improve product performance.
• Collaborate with engineering teams to deploy models into production at scale.
• Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness.
• Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision).
• Monitor, evaluate, and continuously improve models for performance, fairness, and compliance.
• Prepare clear documentation, dashboards, and reports to communicate findings to both technical and non-technical stakeholders.
• Collaborate with engineering, product, and compliance experts to build scalable data-driven solutions that improve product accuracy, efficiency, and customer outcomes.

Chief Marketing Officer

• Define and execute global marketing strategy across brand, demand gen, and communications
• Build and lead a high-performing marketing team
• Drive thought leadership on AML, KYC, KYB, and fraud prevention
• Partner with Sales and Product to align GTM strategies
• Oversee digital campaigns, events, and PR efforts
• Measure marketing ROI and optimize campaigns for growth

Marketing

• Define and execute comprehensive global marketing strategies across brand, demand generation, and communications.
• Scale marketing functions across international markets and lead global market expansion.
• Build, develop, and lead high-performing marketing teams.
• Collaborate closely with Sales and Product teams to align go-to-market strategies.
• Oversee digital marketing, events, public relations, and brand presence initiatives.
• Drive thought leadership in AML, KYC, KYB, identity verification (IDV), and fraud prevention.
• Measure campaign ROI and optimize marketing programs for sustainable growth.
• Provide strategic planning, leadership, and executive-level communication and reporting.

Frontend Engineer

• Develop, test, and maintain responsive and interactive websites and web applications.
• Collaborate with designers, backend developers, and product managers to implement functional and visually appealing web solutions.
• Write clean, efficient, and maintainable code using HTML, CSS, JavaScript, and modern web frameworks (e.g., React, Angular, Vue.js).
• Integrate websites and applications with backend APIs, databases, and third-party services.
• Optimize web applications for speed, performance, scalability, and SEO.
• Troubleshoot, debug, and resolve technical issues across browsers and devices.
• Stay updated with emerging web technologies, frameworks, and best practices.
• Participate in code reviews, testing, and documentation to ensure high-quality deliverables.

Web Developer

Executive Assistant

• Virtual Assistant to support day-to-day administrative functions
• Act as the first point of contact managing emails, calls, and scheduling
• Maintain calendars, schedule appointments, and coordinate meetings
• Prepare and edit documents, presentations, and spreadsheets
• Assist with travel bookings, logistics, and expense report compilation
• Perform accurate data entry and maintain organized digital filing systems
• Handle customer inquiries and follow-ups via email or chat
• Support team members with ad-hoc administrative and operational tasks
• Conduct internet research and gather information as required
• Handle confidential data with discretion and secure document management

Virtual Assistant

Insurance

Are you passionate about ensuring software quality and delivering bug-free applications to end-users? We are seeking a detail-oriented Software Quality Assurance Engineer for a remote position to test, validate, and optimize cutting-edge software products. Join our team to drive excellence in QA testing , automation, and quality processes.

Key Responsibilities
Design and execute test plans , test cases , and test scripts for web, mobile, and enterprise applications.
Perform manual testing and build automated testing frameworks.
Collaborate with developers, product managers, and stakeholders to ensure product quality.
Identify, document, and track software defects using bug tracking tools (JIRA, Bugzilla, etc.).
Conduct regression testing , integration testing , and UAT .
Monitor performance and scalability through load testing and stress testing .
Ensure compliance with QA best practices and Agile/Scrum methodologies .

Software Quality Assurance

Software Quality Insurance - Remote

QA Engineer

• Review and analyze requirements, specifications, and technical design documents.
• Develop, maintain, and execute detailed manual test cases for web, mobile, and desktop applications.
• Conduct various types of testing including functional, regression, smoke, system, integration, and UAT.
• Identify, document, and track defects using bug tracking tools (Jira, Bugzilla, Trello, etc.).
• Collaborate with developers, business analysts, and QA engineers to understand requirements and ensure test coverage.
• Validate bug fixes and enhancements in subsequent releases.
• Perform cross-browser, cross-platform, and device testing.
• Assist in creating and maintaining test documentation, including test plans, test scenarios, and test reports.
• Provide feedback on usability, user experience, and overall product quality.
• Participate in Agile ceremonies (sprint planning, daily stand-ups, retrospectives).

Manual Tester

Full-stack Engineer

• We are seeking a highly skilled and innovative Software Engineer to design, develop, and maintain high-quality software applications in a fully remote work environment.
• The ideal candidate will have strong expertise in software development, coding best practices, and modern programming languages, while collaborating effectively with distributed teams.
• Key Responsibilities:
• Design, code, and test software solutions that meet project requirements.
• Collaborate with cross-functional teams, including UI/UX designers, project managers, and QA engineers.
• Maintain and enhance existing applications by identifying and fixing bugs and implementing improvements.
• Apply software engineering principles to ensure scalability, maintainability, and security.
• Utilize version control systems such as Git for efficient code management.
• Participate in code reviews and ensure compliance with best coding standards.
• Keep up to date with emerging technologies and recommend innovative solutions.

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Chief Marketing Officer

Chief Marketing Officer

Web Developer

Virtual Assistant

Software Quality Assurance

Software Quality Insurance - Remote

Manual Tester

Software Engineer - Remote