Financial Data Scientist

3 days ago


Kuala Lumpur, Kuala Lumpur, Malaysia Hiredly X Full time
About Hiredly X

Hiredly X is a leading provider of innovative data-driven solutions for the financial industry. We deliver cutting-edge technology that enhances decision-making and drives business growth.

Job Description

We are seeking an experienced Data Analytics Engineer to join our team in designing, prototyping, and implementing ML models for financial applications. The successful candidate will have a strong understanding of classical ML models, inference systems, and fine-tuning generative AI models.

The ideal candidate will possess solid experience in data scraping, extraction, transformation, and pipeline development for large-scale datasets. Strong skills in Python and ML frameworks like PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas are essential.

In addition, proficiency in Git, CI/CD, Docker, and Kubernetes is required. Familiarity with MLflow, Kubeflow, Airflow, and cloud-based ML services for model management and deployment is a plus.

This role involves close collaboration with cross-functional teams to translate business needs into effective ML solutions. The successful candidate will be responsible for defining the data science roadmap and establishing best practices for model development, versioning, and deployment.

Key Responsibilities
  1. Design, prototype, and implement ML models for financial applications.
  2. Identify, collect, clean, and preprocess structured and unstructured financial data from multiple sources.
  3. Build and optimize training pipelines for experimentation and production deployment.
  4. Fine-tune and optimize foundational AI models to enhance decision-making and automation.
Requirements
  • Ability to translate complex financial and business challenges into ML-driven solutions and communicate findings effectively.
  • Solid understanding of financial markets, algorithmic trading, and risk management strategies.
  • Experience in classical ML models, inference systems, and fine-tuning generative AI models.
  • Strong skills in data scraping, extraction, transformation, and pipeline development for large-scale datasets.
  • Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Keras, Scikit-learn, NumPy, and Pandas.
  • Strong coding ability with experience in Git, CI/CD, Docker, and Kubernetes.
  • Familiarity with MLflow, Kubeflow, Airflow, and cloud-based ML services for model management and deployment.
What We Offer

We offer a competitive compensation package, including benefits and opportunities for professional growth and development.

Hiredly X is an equal opportunities employer and welcomes applications from diverse candidates.



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