Job Description
We are seeking a visionary Senior Data Scientist to lead our predictive modeling initiatives within our Global Risk Management division. At Lumina Banking, we leverage cutting-edge technology to secure our assets and optimize lending strategies.
In this pivotal role, you will design and implement machine learning algorithms that drive credit scoring accuracy and fraud detection. You will work closely with cross-functional teams to transform complex financial data into actionable insights, ensuring compliance with global banking standards while pushing the boundaries of AI in finance.
Why join us?
- Work with state-of-the-art tech stack.
- Competitive salary and equity package.
- Remote-first hybrid culture.
Responsibilities
- Develop and deploy scalable machine learning models for credit risk assessment and fraud detection.
- Perform exploratory data analysis (EDA) to uncover trends and anomalies in large datasets.
- Collaborate with risk officers to translate business requirements into technical solutions.
- Optimize existing algorithms to improve model performance and reduce false positives.
- Maintain data pipelines and ensure data quality standards are met.
- Present model performance and business impact to stakeholders and senior management.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or Finance.
- 5+ years of experience in data science, specifically within the financial services sector.
- Strong proficiency in Python, R, and SQL.
- Deep understanding of statistical analysis and machine learning libraries (scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (AWS/GCP/Azure) is highly preferred.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical audiences.