ABOUT US
At Money Fellows we believe that there is only one way to build an outstanding organization; and that is to attract exceptionally talented people who are aligned with our mission, thrive on challenges and are passionate about problem-solving. Being a market leader in the digital Fin Tech space, we facilitate to our customers the easiest and fast digital financial solutions which can enhance their lives. We are operating now in Egypt with a clear vision towards expansion in the region. We aim to build an inspiring organization with an engaged and high-performing culture. Joining the team now would mean that you could have a direct impact on the company’s growth trajectory. If you are hungry to make an impact and develop your skills in a dynamic environment, collaborating with like-minded people, we want to hear from you.

ABOUT THE ROLE:
Key responsibilities include:

• Analyze complex financial datasets: Lead the analysis of intricate financial datasets to identify patterns, trends, and correlations using statistical techniques and machine learning algorithms.
• Develop predictive models and algorithms: Drive the development of advanced predictive models and algorithms to forecast financial outcomes, detect anomalies, and support risk management and decision-making processes.
• Conduct exploratory data analysis: Lead the team in conducting exploratory data analysis to uncover valuable insights, generate hypotheses for further investigation, and guide strategic initiatives.
• Apply machine learning algorithms: Utilize a wide range of machine learning algorithms, including regression, classification, clustering, and deep learning, to solve complex business problems and enhance fintech applications.
• Train, validate, and optimize models: Lead the team in training, validating, and optimizing machine learning models using appropriate techniques, such as cross-validation, hyperparameter tuning, and feature selection.
• Collaborate with cross-functional teams: Work closely with software engineers, developers, and stakeholders to implement and deploy machine learning models into production environments, ensuring seamless integration and scalability.
• Communicate insights and recommendations: Prepare and deliver comprehensive presentations, reports, and dashboards to convey insights, findings, and recommendations to technical and non-technical audiences, influencing strategic decision-making.
• Data preparation and feature engineering: Lead the implementation of data cleaning, transformation, and feature engineering techniques to ensure high-quality data for analysis and modelling.

Requirements

• Proven work experience as an end-to-end Data Scientist across diverse business domains (previous Fin Tech experience is a major plus).
• Ability to lead, motivate and organize team efforts through strong mentorship skills, technical prowess, and “2-steps ahead” business thinking.
• Solid understanding of mathematical and statistical modeling along with machine learning and AI algorithms (knowledge of Graph models and databases is a plus).
• Strong experience with data pre-processing methods and techniques.
• Robust experience with the machine learning cycle, from development and training to deployment and re-training.
• Knowledge of data mining and segmentation techniques.
• Expertise with cloud-based infrastructure (e.g. AWS or GCP).
• Expert capabilities with both SQL and Python, with an aptitude for data visualization
• Strong knowledge of MLOps

Benefits
Join our team where your well-being is our priority from day one. We embrace the concept of Psychological Safety, ensuring that whether you're a candidate or an employee, you feel supported and valued in every way.
Mental Well-being: Your mental health matters. Benefit from our open-door policies, skip-level meetings, and thoughtfully designed workspaces that ensure you are heard and appreciated.
Physical Health: Stay active and healthy with our gym allowance, nutritious office snacks, and monthly consultations with a nutritionist to help you maintain your well-being.
Social Wellness: Forge connections through exciting team-building activities, interactive town halls, and collaborative workspaces that ignite innovation and foster a sense of community.
Financial Empowerment: We value your financial stability. Enjoy competitive salaries, pension plans, and exclusive employee discounts through our Circles program to help you achieve your financial goals.
Growth Opportunities: Seize the chance to advance your career with our workshops, mobility programs, and internal transfer opportunities. Thrive and grow with us in a community that supports your professional development at every step.
Join us and grow in a community that supports every aspect of your wellness!