Qureos Mentor

mylo

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 mylo
 
 is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you'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'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.
 
 
 The Role We are looking for a Staff Data Scientist to lead the technical strategy for our decisioning engines. You will operate at the intersection of Data Science and Software Engineering, designing high-scale systems that power multiple business lines&mdash;from Growth &amp; Pricing to Underwriting &amp; Collections. You will move beyond simple model building to architecting robust, reproducible MLOps pipelines that serve real-time financial decisions.
 
 
 
 Responsibilities
 
 
 
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 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
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 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
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 Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready
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 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
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 Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization
 
 
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 Requirements
 
 
 
 Requirements
 
 
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 Experience: 7+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred
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 ML Proficiency: Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks
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 Production Engineering: Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential
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 Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design
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 Strategic Thinking: Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps
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Staff Data Scientist

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 mylo, the consumer finance arm of B.TECH, is revolutionizing the financial landscape, seeks a dynamic, results-oriented Senior Data Scientist. The ideal candidate will play a pivotal role in driving data-driven decisions and shaping our future. You'll work closely with cross-functional teams to unlock the power of data, build predictive models, and deliver actionable insights.
 
 
 We are looking for an exceptionally talented Senior Reconciliation &amp; Settlement Specialist to enhance reconciliation and settlement procedures across a wide range of financial partners, such as banks, payment processors, and internal accounts. This position demands extensive knowledge of financial operations, controls, and risk management to guarantee the precision, integrity, and efficiency of all financial transactions.
 
 
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 Oversee and execute end-to-end reconciliation of transactions across payment gateways, digital wallets, and banking partners
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 Review and validate daily settlements using payment scheme files and internal records
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 Ensure compliance with settlement regulations and support internal and external audits
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 Develop and maintain comprehensive financial reports to enhance visibility and support decision-making
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 Monitor account balances and fund allocations to ensure smooth payment operations and minimize delays and costs
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 Identify, investigate, and resolve complex discrepancies to maintain financial data integrity
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 Collaborate closely with Finance, Treasury, and Customer Support teams to resolve payment-related issues and escalations
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 Coordinate with the Chargeback team to efficiently manage dispute cases
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 Establish and enhance risk controls to detect and prevent discrepancies or fraud
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 Design and implement frameworks to improve reconciliation and settlement accuracy and efficiency for merchants and financial partners
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 Liaise with banks to resolve outstanding issues and respond to inquiries
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 Communicate with application support teams to report issues and suggest process enhancements
 
 
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 Requirements
 
 
 
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 Bachelor's degree in Business Administration, Finance, or a related field
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 Minimum 5 years' experience in reconciliation, settlement, or financial operations within fintech, banking, or digital payments
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 Strong understanding of banking operations, payment schemes, and settlement processes
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 Proven expertise in payment processing, digital wallets, and financial reconciliations
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 Proficient in Excel, SQL, or data analytics tools for managing large financial datasets
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 Experience with ERP systems, reconciliation automation tools, and financial risk management
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 Demonstrated ability to enhance financial controls and implement best practices
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 Excellent communication and problem-solving skills; able to work effectively in cross-functional teams
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 Ability to thrive in a fast-paced, dynamic environment
 
 
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 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 "Day 1" 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.
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Senior Reconciliation & Settlement Analyst

Join mylo and explore 2   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.

mylo

About Company

Staff Data Scientist

Senior Reconciliation & Settlement Analyst