Qureos Mentor

MYLO

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

Requirements 
<ul><li>
Education: Currently pursuing a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.</li><li>
Technical Toolkit: Proficiency in Python (specifically libraries like Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow). Back-end or full-stack knowledge.</li><li>
Statistical Foundation: A solid understanding of machine learning algorithms, statistics, and linear algebra.</li><li>
Data Fluent: Comfortable working with SQL to query and manipulate large datasets.</li><li>
Curious &amp; Persistent: You love debugging complex issues and are comfortable with the iterative nature of ML model building.</li></ul>
Nice to have
<ul><li>Experience with cloud platforms (AWS, GCP, or Azure) and machine learning services (e.g., SageMaker, Vertex AI).</li><li>
Exposure to LLM and GenAI.</li><li>
Previous experience or passion projects in the fintech space (e.g., building a sentiment analysis tool for markets, or a personal expense classifier).</li><li>
Familiarity with version control systems like Git.</li></ul> 

Benefits 
Inspiring Office Environment 
When you come to the mylo office, you'll find creative workspaces, an open design that encourages team collaboration, and a well-equipped kitchen for your daily coffee breaks or snack moments.
&zwj; Learn from the Best 
You&rsquo;ll be surrounded by experienced, passionate tech professionals who are ready to guide you. You'll learn fast, grow even faster, and gain real-world exposure that will help you take confident steps in your career.
Real Impact 
This isn&rsquo;t a &ldquo;watch-and-learn&rdquo; kind of internship. You&rsquo;ll be working on real projects, solving actual problems, and making a difference &mdash; from day one.</div>

Machine Learning Intern

<div>mylo is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you&rsquo;re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt&rsquo;s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices. 
Responsibilities<ul><li>
Assist in the creation of dashboards and visualizations under the guidance of senior analysts.</li><li>
Support in-depth analyses to help identify business opportunities and potential risks.</li><li>
Collaborate with cross-functional teams to help gather requirements and support the definition of key performance indicators (KPIs).</li><li>
Help maintain and update data models, and support basic ETL (Extract, Transform, Load) processes.</li><li>
Assist in cleaning, organizing, and validating data to ensure accuracy and consistency.</li><li>
Support the team in documenting analytics processes and best practices.</li><li>
Participate in team discussions and contribute ideas for improving data reporting and insights.</li></ul> 
Requirements 
<ul><li>
Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field (recent graduates only)</li><li>
Basic understanding of data analysis concepts and BI tools (e.g., Power BI, Tableau, or similar).</li><li>
Familiarity with Excel/Google Sheets; basic knowledge of SQL is a plus.</li><li>
Strong analytical thinking and attention to detail.</li><li>
Good communication skills and ability to present findings clearly.</li><li>
Eager to learn, proactive, and comfortable working with data.</li><li>
Interest in pursuing a career in Data Analytics, Business Intelligence, or related fields.</li></ul> 

Benefits 
Inspiring Office Environment 
When you come to the mylo office, you'll find creative workspaces, an open design that encourages team collaboration, and a well-equipped kitchen for your daily coffee breaks or snack moments.
&zwj; Learn from the Best 
You&rsquo;ll be surrounded by experienced, passionate tech professionals who are ready to guide you. You'll learn fast, grow even faster, and gain real-world exposure that will help you take confident steps in your career.
Real Impact 
This isn&rsquo;t a &ldquo;watch-and-learn&rdquo; kind of internship. You&rsquo;ll be working on real projects, solving actual problems, and making a difference &mdash; from day one.</div>

Data Insights & BI Intern

<div>mylo is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you&rsquo;re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt&rsquo;s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices. 
 
Responsibilities:<ul><li>
Assist in developing and maintaining automated test scripts for web and/or mobile applications under senior team members' guidance.</li><li>
Collaborate with cross-functional teams to understand project requirements and help identify test scenarios.</li><li>
Execute automated and manual tests, and help analyze results to identify defects and areas for improvement.</li><li>
Support developers and product owners in reproducing and documenting software defects.</li><li>
Help maintain and improve existing test suites to support test coverage and efficiency.</li><li>
Assist in tracking and reporting on testing progress, including basic defect metrics.</li><li>
Stay curious about industry trends, emerging tools, and best practices in software testing and automation.</li><li>
Participate in code reviews and contribute ideas to improve testing processes.</li></ul> 
Requirements 
<ul><li>
Currently pursuing a bachelor's degree in Computer Science, Software Engineering, or a related field.</li><li>
Basic understanding of software testing concepts and methodologies (manual and/or automated).</li><li>
Familiarity with programming fundamentals (any language) and willingness to learn testing frameworks/tools.</li><li>
Basic knowledge of Git or other version control systems is a plus.</li><li>
Exposure to Agile/Scrum practices is a plus, not required.</li><li>
Strong problem-solving skills and attention to detail.</li><li>
Good written and verbal communication skills.</li><li>
Eager to learn, proactive, and able to manage tasks independently.</li><li>
Interest in pursuing a career as a QA/Testing Engineer.</li><li>
ISTQB or similar certification is a plus, but not required.</li></ul> 

Benefits 
Inspiring Office Environment
When you come to the mylo office, you'll find creative workspaces, an open design that encourages team collaboration, and a well-equipped kitchen for your daily coffee breaks or snack moments.
&zwj; Learn from the Best
You&rsquo;ll be surrounded by experienced, passionate tech professionals who are ready to guide you. You'll learn fast, grow even faster, and gain real-world exposure that will help you take confident steps in your career.
Real Impact
This isn&rsquo;t a &ldquo;watch-and-learn&rdquo; kind of internship. You&rsquo;ll be working on real projects, solving actual problems, and making a difference &mdash; from day one.</div>

Testing and Automation Intern

<div>mylo is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you&rsquo;re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt&rsquo;s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices. 
 
Role Overview
We are seeking an Operational Risk professional to support the identification, assessment, and mitigation of operational risks across our fintech operations. The ideal candidate brings a strong risk mindset, understands end‑to‑end operational processes, and has exposure to fintech or banking environments.
This role is suited for early to mid-career professionals (typically aged 25&ndash;30 or equivalent experience) who are looking to grow within a fast‑paced, regulated digital financial ecosystem.
Key ResponsibilitiesOperational Risk Management<ul><li>
Identify, assess, and monitor operational risks across products, processes, systems, and third‑party relationships</li><li>
Maintain and update Risk &amp; Control Assessments for operations</li><li>
Support development and monitoring of Key Risk Indicators (KRIs)</li><li>
Track and report operational risk incidents, losses, and near misses</li></ul>
Controls &amp; Process Assurance<ul><li>
Evaluate effectiveness of operational controls and recommend improvements</li><li>
Support implementation of risk mitigation actions in collaboration with Ops, Product, Tech, and Compliance teams</li><li>
Assist in reviewing SOPs, workflows, and process changes from a risk perspective</li></ul>
Governance &amp; Reporting<ul><li>
Prepare regular operational risk reports for management and governance forums</li><li>
Support regulatory, internal audit, and external audit requests related to operational risk</li><li>
Ensure alignment with internal risk frameworks, policies, and regulatory expectations</li></ul>
Fintech &amp; Ecosystem Risk
Assess risks related to digital products, payments, wallets, APIs, and automation
Monitor third-party and vendor operational risks
Support business continuity, incident response, and operational resilience initiatives 
Requirements 
<ul><li>
Age range: Typically 25&ndash;30 years (or equivalent professional experience)</li><li>
1&ndash;3 years of experience in:
</li><li><ul><li>Operational Risk</li><li>
Risk Management</li><li>
Internal Controls</li><li>
Audit or Compliance</li></ul></li><li>
Experience within Fintech, Digital Banking, or Traditional Banking environments</li><li>
Bachelor&rsquo;s degree in Business, Finance, Risk Management, or a related field</li></ul> 
Benefits 
Office environment: When you come to our b_labs office, you'll find creative workspaces, a well-equipped kitchen, and an open design to foster collaboration between teams.
Education budget: We believe the learning journey never ends, therefore you will be entitled to an annual education budget to take part in trainings, courses or onsite conferences of your choice.
Flexibility: You know best whether you want to work from home or in the office. However, if you want to join your teammates onsite, we will subsidize the costs for lunch to foster the b_labs office community
Mobility package: When you are joining the b_labs office, we will subsidize your mobility expenses for public transport.
Equipment: From &quot;Day 1&quot; you will receive all the equipment you need be successful at work. Therefore, you can choose your laptop and get all the tools you need to stay on top of your game.</div>

Operational Risk Officer

<div>Role Overview
We are seeking an experienced Engineering Manager &ndash; Data Science to lead a high-performing Data Science squad responsible for delivering scalable machine learning solutions, predictive models, and AI-driven products that drive business impact.
The ideal candidate combines deep technical expertise in Data Science and Machine Learning with strong people leadership capabilities. This role requires a strategic thinker who can manage a multidisciplinary squad, define technical roadmaps, mentor engineers and data scientists, and collaborate closely with Product, Engineering, Analytics, and Business stakeholders.
Key ResponsibilitiesLeadership &amp; Team Management<ul><li>
Lead, coach, and develop a squad of Data Scientists, Machine Learning Engineers.</li><li>
Drive team performance through goal setting, mentoring, career development, and continuous feedback.</li><li>
Build and foster a culture of innovation, ownership, collaboration, and technical excellence.</li><li>
Support recruitment, onboarding, and talent development initiatives.</li><li>
Manage squad capacity, planning, and execution to ensure successful delivery of strategic projects.</li></ul>
Technical Leadership<ul><li>
Define and execute the Data Science roadmap aligned with business objectives.</li><li>
Lead the design, development, deployment, and monitoring of machine learning models and AI solutions.</li><li>
Establish engineering best practices for model development, experimentation, MLOps, and production deployment.</li><li>
Guide architectural decisions related to data platforms, machine learning infrastructure, and AI systems.</li><li>
Ensure scalability, reliability, and maintainability of Data Science solutions.</li></ul>
Stakeholder Management<ul><li>
Partner with Product Managers, Engineering Leaders, and Business stakeholders to identify opportunities for data-driven decision making.</li><li>
Translate complex business problems into analytical and machine learning solutions.</li><li>
Communicate technical findings and recommendations to both technical and non-technical audiences.</li><li>
Drive alignment across cross-functional teams to deliver measurable business outcomes.</li></ul>
Delivery &amp; Execution<ul><li>
Oversee end-to-end project delivery from discovery and experimentation to production deployment.</li><li>
Monitor KPIs and model performance to ensure continuous improvement.</li><li>
Balance technical debt, innovation, and business priorities effectively.</li><li>
Drive agile delivery practices within the squad.</li></ul> 

Requirements 
<ul><li>
10+ years of experience in Data Science, Machine Learning, Software Engineering, or related technical fields.</li><li>
4+ years of people management experience leading Data Science or Machine Learning teams.</li><li>
Proven experience leading cross-functional squads in product-driven environments.</li><li>
Demonstrated track record of deploying machine learning models into production.</li></ul>
Technical Skills
Strong expertise in:
<ul><li><ul><li>Machine Learning</li><li>
Statistical Modeling</li><li>
Predictive Analytics</li><li>
Deep Learning</li><li>
NLP and/or Generative AI</li><li>
Experiment Design and A/B Testing</li></ul></li></ul>
Advanced proficiency in:
<ul><li><ul><li>Python</li><li>
SQL</li><li>
Data Visualization tools</li></ul></li></ul>
Experience with:
<ul><li><ul><li>MLOps practices</li><li>
Model monitoring and governance</li><li>
Cloud platforms (Azure, AWS, or GCP)</li><li>
Data Engineering concepts and modern data platforms</li></ul></li></ul>
Familiarity with:
<ul><li><ul><li>LLMs and Generative AI applications</li><li>
Feature stores</li><li>
Recommendation systems</li><li>
Real-time machine learning solutions</li></ul></li></ul>
Preferred Qualifications<ul><li>
Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.</li><li>
Experience within FinTech, Digital Products, E-commerce, Banking, or Technology organizations.</li><li>
Experience managing large-scale data platforms and AI initiatives.</li><li>
Knowledge of modern software engineering practices and DevOps methodologies.</li></ul> 

Benefits 
<ul><li>
Lead cutting-edge AI and Data Science initiatives.</li><li>
Build products impacting millions of users.</li><li>
Work with highly talented engineering and product teams.</li></ul><ul><li>
Shape the future of data-driven decision making within the organization.
</li><li>When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.
</li><li>You know best whether you want to work from home or in the office.
</li><li>From &quot;Day 1&quot; you will receive all the equipment you need be successful at work.</li></ul></div>

Engineering Manager (Data Science)

<div>mylo is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you&rsquo;re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt&rsquo;s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
We are seeking a passionate and experienced Senior Data Engineer to join our team within the Fintech domain. This role is ideal for someone who thrives in a fast-paced environment and is excited to design, build, and scale secure, high-performing infrastructure to support a range of financial products.
Responsibilities<ul><li>
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.</li><li>
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.</li><li>
Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready.</li><li>
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.</li><li>
Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization.</li></ul> 
Requirements 
<ul><li>
Experience: 4+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred.</li><li>
ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks.</li><li>
Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential.</li><li>
Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design.</li><li>
Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps.</li></ul></div>

Senior Data Scientist

<div>mylo is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you&rsquo;re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH&mdash;Egypt&rsquo;s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions&mdash;mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices.
We are looking for a highly experienced and results-driven Head of Collection to lead and optimize early-stage collections and customer communication operations. The role is responsible for driving collection performance, enhancing customer experience, managing internal and external call center teams, and ensuring operational compliance with company policies and regulatory requirements.
The ideal candidate should possess strong leadership capabilities, analytical skills, operational excellence, and deep experience in consumer finance collections and call center management.
Responsibilities 
Soft Collection Management<ul><li>
Lead and manage Soft Collection strategies for early delinquency buckets to maximize recovery while maintaining customer experience.</li><li>
Monitor daily collection performance, roll rates, cure rates, PTP achievement, and operational KPIs.</li><li>
Develop and implement segmentation strategies based on customer behavior, risk level, and portfolio performance.</li><li>
Ensure achievement of monthly collection targets and operational SLAs.</li><li>
Optimize collection channels including outbound calls, SMS, WhatsApp, IVR, digital collection tools, and field coordination.</li><li>
Monitor productivity and quality of collection agents and supervisors.</li><li>
Manage early risk indicators for risky cases</li></ul>
Call Center Operations<ul><li>
Manage day-to-day collection Call Center Operations including activities.</li><li>
Improve customer reachability, service quality, and operational efficiency.</li><li>
Ensure proper workforce management, scheduling, forecasting, and staffing optimization.</li><li>
Develop and monitor call quality standards and coaching programs.</li><li>
Handle escalations and critical customer complaints professionally.</li><li>
Improve operational processes and customer journey experience.</li><li>
Use the AI debt agent in daily operations.
</li></ul>Team Leadership &amp; Performance<ul><li>
Lead, coach, and develop supervisors, team leaders, and collection agents.</li><li>
Build a high-performance and accountability-driven culture.</li><li>
Conduct regular performance reviews and calibration sessions.</li><li>
Design incentive schemes and performance improvement initiatives.</li></ul>
Reporting &amp; Analytics<ul><li>
Prepare detailed MIS, dashboards, and management reports for senior leadership.</li><li>
Analyze portfolio trends, collection performance, and operational gaps.</li><li>
Provide actionable insights and strategic recommendations to improve recovery performance and operational efficiency.</li><li>
Monitor agency performance and vendor productivity if applicable.</li></ul>
Compliance &amp; Governance<ul><li>
Ensure full compliance with regulatory requirements, company policies, and customer treatment standards.</li><li>
Maintain proper audit controls and documentation.</li><li>
Ensure ethical collection practices and customer data confidentiality.</li></ul> 
Requirements 
<ul><li>
Bachelor&rsquo;s degree in business administration, Finance, Commerce, Economics, or related field.</li><li>
MBA or relevant professional certification is a plus</li><li>
10 &ndash;12+ years of progressive experience in consumer finance, banking, fintech, or collections operations.</li><li>
Strong experience in Soft Collection management and delinquency portfolio handling.</li><li>
Proven experience managing large call center teams and collection operations.</li><li>
Strong understanding of collection KPIs, portfolio analysis, and operational metrics.</li><li>
Experience with dialer systems, CRM platforms, collection systems, and workforce management tools.</li><li>
Advanced Excel and reporting skills.</li><li>
Experience with Power BI, Metabase, or analytical dashboards is preferred.</li><li>
Strong people management and coaching skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Strategic thinking with strong execution capabilities.</li><li>
Problem-solving and decision-making skills under pressure.</li><li>
Strong negotiation and customer handling skills.</li></ul></div>

Head Of Collection

Join MYLO and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.