About this role
Money Fellows (https://moneyfellows.com/) is transforming how people save, borrow, and invest. As the world’s first and largest Money Circles app, we’ve digitized the traditional ROSCA model to make it smarter, safer, and more accessible. 💸
Since 2016 , we’ve empowered over 10+ million users to take control of their financial futures with confidence. 🚀
Key Responsibilities
- Support the analysis of financial and business datasets to identify patterns, trends, correlations, and potential insights that support business understanding.
- Assist in cleaning, transforming, and organizing structured and unstructured datasets to ensure data quality and readiness for analysis and modeling.
- Apply basic statistical techniques and exploratory data analysis to investigate business questions and identify opportunities for further analysis.
- Assist in developing, training, and testing basic machine learning models under the guidance of senior team members.
- Support model validation and performance evaluation using appropriate metrics and techniques, documenting results and highlighting areas for improvement.
- Prepare basic charts, dashboards, and reports to communicate analytical findings and insights to technical and non-technical stakeholders.
- Work with Data Science, Data Engineering, and Software Engineering teams to support assigned analytical projects and understand
Key Qualifications
- Basic understanding of statistical analysis, probability, and machine learning concepts.
- Good knowledge of Python or R, with familiarity with data manipulation libraries such as Pandas.
- Basic understanding of machine learning algorithms, including regression, classification, and clustering.
- Familiarity with machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch is an advantage.
- Basic knowledge of SQL and relational databases for data extraction and manipulation.
- Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn, or Power BI.
- Basic understanding of data cleaning, preprocessing, and feature engineering techniques.
- Strong analytical thinking, problem-solving, and quantitative reasoning skills.
Benefits
We care about your well-being from day one, whether you’re a candidate or a team member, by actively fostering a culture of psychological safety where you feel respected, heard, and supported.
- Mental Well-being: We prioritize your mental health through open-door policies, skip-level meetings, and thoughtfully designed workspaces that encourage trust and transparency.
- Physical Health: Stay active and energized with a gym allowance, healthy office snacks, and monthly consultations with a nutritionist.
- Social Wellness: Build meaningful connections through team-building activities, engaging town halls, and collaborative workspaces that inspire innovation.
Join us and be part of a community that supports every aspect of your well-being and growth.