mylo

Marketing

• Offline Campaign Planning & Execution: Lead the execution of offline marketing campaigns, including roadshows, outdoor campaigns, and field activations. Translate marketing objectives into actionable offline plans with clear timelines and deliverables.
• Roadshows & Field Activations: Manage roadshows, flyers, giveaways, and on-ground brand activations. Oversee logistics, setup, and execution to ensure consistent brand representation.
• Creative Production & Printing Management: Handle the creation, production, and printing of offline marketing materials. Coordinate with creative agencies, printers, and suppliers to ensure quality, timelines, and cost efficiency.
• Outdoor Advertising & Media: Manage outdoor advertising campaigns, including billboards and offline placements. Ensure proper execution, visibility, and compliance with brand guidelines.
• Content & Ad Shoots: Participate in offline ad shoots and production activities. Coordinate with internal teams and vendors to support smooth execution of shoots.
• Cross-Functional Coordination: Work closely with Marketing, Growth, and Operations teams to align offline initiatives with overall campaigns. Ensure seamless communication between stakeholders and execution partners.
• Performance Tracking & Reporting: Track offline campaign execution and effectiveness against defined objectives. Provide regular updates and post-campaign insights to support continuous improvement.
• Travel & Field Presence: Travel frequently to support on-ground execution, especially during peak campaign seasons. Ensure hands-on supervision of activations and offline initiatives.

Senior Offline Marketing Specialist

Data Scientist

• Assist in collecting, cleaning, and analyzing large datasets
• Support the team in building reports and dashboards that drive business decisions
• Work closely with different departments to understand data needs
• Explore data trends and patterns to uncover insights
• Contribute to improving data processes and documentation
• Learn and apply data science techniques in real-world scenarios

Data Science Intern

Product Manager

• **Market Research:** Conduct competitive analysis and user research to identify trends in the fintech landscape and gaps in our current product offerings.
• **Feature Discovery:** Assist in drafting product requirement documents (PRDs), user stories, and acceptance criteria for upcoming features.
• **Data Analysis:** Dive into product usage data (using tools like SQL, Mixpanel, or Amplitude) to uncover user behavior patterns and suggest actionable product improvements.
• **Cross-Functional Collaboration:** Participate in sprint planning, stand-ups, and retrospectives, acting as a bridge between the engineering and design teams.
• **Quality Assurance:** Perform hands-on product testing to ensure a seamless user experience across our platforms before any public release.

Product Management Intern

Machine Learning Engineer

• Model Development: Assist in designing, training, and fine-tuning machine learning models using Python and modern ML frameworks.
• Data Pipeline Maintenance: Help clean, preprocess, and analyze large datasets to ensure high-quality training inputs for our models.
• Performance Evaluation: Conduct experiments to evaluate model accuracy, precision, and recall; document findings and iterate based on performance metrics.
• Research & Implementation: Stay up-to-date with the latest developments in AI/ML and explore how they can be applied to solve specific fintech problems.
• Collaborative Deployment: Work with the engineering team to integrate model prototypes into our production environment.

Machine Learning Intern

Product Designer

• Assist in designing user-centered interfaces and experiences for web and/or mobile products under the guidance of senior designers.
• Support the team in conducting user research, gathering feedback, and translating insights into design improvements.
• Help create wireframes, mockups, and prototypes to communicate design ideas and concepts.
• Collaborate with product managers, developers, and other stakeholders to understand requirements and design constraints.
• Contribute to and help maintain design systems, ensuring consistency across products.
• Participate in design critiques and brainstorming sessions, offering and receiving feedback constructively.
• Assist in usability testing sessions and help document findings and recommendations.
• Stay curious about design trends, tools, and best practices in UX/UI design.

Product Design Intern

General

• Support customer base management and analysis.
• Assist in pricing analysis and reviews.
• Help build and refine customer segmentation.
• Support the design and tracking of promotional activities.
• Prepare performance reports on base and pricing initiatives.
• Research market and competitor pricing trends.
• Collaborate with cross-functional teams on base growth initiatives.
• Stay updated on fintech pricing and customer retention trends.

Base Management & Pricing Intern

Content Creator

• Assist in creating engaging social media content.
• Write copy in Arabic and English.
• Maintain monthly content calendars.
• Publish and schedule content.
• Research trends and competitors.
• Support marketing campaigns with ideas.
• Collaborate with cross-functional marketing teams.
• Monitor organic performance dashboards.
• Prepare simple reports.
• Stay updated on fintech and social media trends.

Content Creator Intern

Graphics Designer

• Design social media creatives.
• Create campaign visual assets.
• Edit short-form videos.
• Assist in creating simple animated videos and basic motion graphics.
• Adapt creatives for different platforms.
• Collaborate with the Marketing team.
• Research design and animation trends.
• Organize creative assets.

Graphic Designer Intern

People Operations

• Support the People Experience team in day-to-day HR operations and administrative tasks.
• Help organize and support employee engagement activities and initiatives that enhance company culture.
• Assist in preparing and maintaining HR documentation, policies, and employee records.
• Support the coordination of learning and development activities, including logistics for training sessions and workshops.
• Help collect and organize HR data/metrics, and assist in preparing simple reports and summaries related to employee satisfaction and engagement.
• Provide general support to the team on employee relations tasks under supervision (e.g., following up on requests, documentation, addressing simple employee queries).
• Assist in planning and executing internal events, celebrations, and culture-building activities.
• Help gather employee feedback (e.g., surveys, pulse checks) and support in summarizing results.
• Participate in project work related to organizational initiatives and employee experience as assigned.

People Experience Intern

Analyst

• Role OverviewWe are looking for a **Fraud Analyst **to join our growing fintech risk team. This role is ideal for **young, high‑potential professionals** with hands‑on exposure to **fintech products and digital customer journeys**, and a strong interest in **fraud prevention and analysis**.
• Key ResponsibilitiesFraud Monitoring & Detection
• - Monitor transactions and customer activities to detect **fraudulent or suspicious behavior**
• - Review alerts generated by fraud systems, rules engines, or manual monitoring
• - Identify emerging fraud patterns related to:
• - Payments
• - Cards
• - Digital onboarding
• - Account takeover
• Investigation & Case Management
• - Investigate suspected fraud cases end to end
• - Document cases, findings, and outcomes clearly and accurately
• - Recommend actions such as transaction blocking, account suspension, or escalation
• Fraud Controls & Prevention
• - Support implementation and optimization of **fraud rules and controls**
• - Contribute to fraud prevention initiatives across products and customer journeys
• - Assist in updating fraud-related SOPs and workflows
• Cross‑Functional Collaboration
• - Work closely with Commercial, Operations, Product, Tech, Customer Support, and Risk teams
• - Provide feedback on fraud risks related to new features, releases, or process changes
• Reporting & Insights
• - Prepare basic fraud reports and dashboards
• - Track fraud trends, volumes, and loss metrics
• - Escalate high-risk issues promptly

Fraud Analyst

Full-stack Engineer

• Responsible for the system build and functionality.
• Integrate the application with all required systems and services and provide clean and easy to use APIs and data streams for the frontend part of the system.
• Full responsibility for the application functionality, performance and scalability.
• You know how to write clean modern APIs, integrate with systems and work with databases.
• As an integrative member of the mylo team, you are actively contributing to the creation of a safe, collaborative, growth-focused, purposeful, values-driven, and diverse company culture across all organizational levels.

Senior Full Stack Engineer

• Communicating effectively with customers to follow up on due and overdue installments.
• Encouraging customers to make payments and resolve outstanding balances.
• Conducting field visits to customer homes or workplaces as needed to facilitate collections.
• Negotiating payment plans and solutions that benefit both the customer and the company.
• Maintaining accurate records of customer interactions and payment statuses.

Senior Collection Officer

Collection Officer

• Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently.
• MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference.
• Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready.
• Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services.
• Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization.