We are a data-driven lendtech company that offers digital wallets and credit facilities such as BNPL. As we continue to expand our operations and strive for innovation, we are actively seeking a motivated and talented candidate to join our team. As a Senior Data Analyst, you will be responsible for a variety of projects, including credit scoring, predicting various business variables, fraud detection, risk assessment.
Responsibilities:
Work with data on transactions, users, and merchants including analysis and any pre-processing that might be needed.
Develop and implement data mining/machine learning models to identify patterns and trends in the data which may include association rule mining, sequential pattern mining, and anomaly detection.
Communicate the results of your analysis to stakeholders in a way that they can understand and use to make business decisions.
Work with other data scientists and engineers to build and deploy machine learning models.
Stay up-to-date on the latest trends in data science and credit-based products such as BNPL.
Requirements:
Master's degree in computer science, statistics, or a related field.
5+ years of experience in machine learning, data mining and statistics
A strong working knowledge of Python is essential
Knowledge of credit scoring models is a plus
Experience with statistical tests, probability distributions, and sampling.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Benefits:
Hands-on opportunity to tackle real-world business-driven problems
Collaborative and supportive work environment
Unique and stylish office space
Supplemental medical and life insurance
Other Benefits:
breakfast, lunch, coffee shop, game room, educational allowance, organizational credit
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