Data Science - Python

Your Role:

• Experienced Python developer with strong coding and debugging skills.
• Solid understanding of software design principles and system architecture.
• Hands-on experience with object-oriented frameworks and design patterns.
• Proficient in numerical and data manipulation libraries such as NumPy, SciPy, and Pandas.
• Skilled in designing and implementing end-to-end machine learning pipelines.
• Experience in training, testing, and deploying machine learning models in production environments.
• Familiar with statistical modeling and deep learning concepts.
• Practical experience with ML libraries including scikit-learn, PyTorch, TensorFlow, and Keras.
• Ability to write clean, modular, and scalable code for data-driven applications.
• Strong problem-solving mindset with a focus on performance and reliability.

Your Profile:

• Experience in financial engineering with exposure to market and fundamental data.
• Familiarity with financial modeling and forecasting techniques.
• Prior experience in corporate finance or financial markets, including equities, rates, or FX.
• Understanding of business workflows and data structures in the financial domain.
• Hands-on experience with natural language processing (NLP) models.
• Practical use of large language models (LLMs) for tasks like text generation and sentiment analysis.
• Experience with fine-tuning LLMs using techniques such as LoRA or qLoRA.
• Familiarity with performance optimization tools like DeepSpeed for accelerated model training.
• Ability to integrate NLP solutions into financial applications and pipelines.
• Strong analytical mindset with the ability to bridge technical solutions and financial insights.