Job Overview
We are seeking an accomplished data scientist to collaborate with our clients from the banking industry.
Main Responsibilities:
* Develop and implement advanced machine learning models tailored to complex financial datasets and business objectives.
* Analyze data trends, assess risk, and inform predictive modeling using statistical and mathematical methods.
* Evaluate, validate, and monitor model performance to ensure accuracy, stability, and regulatory compliance.
* Collaborate with financial analysts, IT teams, and data scientists to align models with operational and strategic goals.
* Communicate technical results through clear visualizations and presentations to non-technical stakeholders.
Required Expertise:
* A strong foundation in statistics, probability, and linear algebra for developing robust models.
* Hands-on experience with Python and R, including expertise in scikit-learn, TensorFlow, PyTorch, and Pandas.
* A solid understanding of financial markets, instruments, and regulatory frameworks.
* The ability to evaluate and validate models for fairness, accuracy, and real-world relevance.
* Exceptional communication and collaboration skills.
Bonus Qualifications:
* Experience with deep learning frameworks, NLP, and time-series forecasting in financial contexts.