Data Scientist
Hong Kong
Full time
Office
Compensation is not specified
Role
Data Scientist
Description
A rapidly expanding technology-focused company specializing in financial intelligence is seeking a Data Scientist to join its dynamic analytics team. This position is perfect for individuals enthusiastic about utilizing machine learning, statistics, and quantitative research methods with intricate financial and alternative datasets.
You will be responsible for building predictive models, extracting valuable insights from extensive datasets, and aiding data-informed decision-making in a highly analytical setting. This role provides significant exposure to financial markets, cutting-edge AI/ML applications, and real-time data systems.
Responsibilities:
- Develop and implement machine learning and statistical models for predictive purposes, pattern recognition, and financial analysis.
- Handle both structured and unstructured datasets, including market data, alternative sources, and event-driven information.
- Create and manage scalable workflows for data preparation and feature engineering.
- Perform thorough backtesting, validation, and performance reviews to validate the robustness of models and mitigate overfitting risks.
- Identify unique indicators and predictive attributes to enhance analytical precision and signal quality.
- Collaborate closely with various stakeholders to convey technical insights into actionable business strategies.
- Continually assess data integrity, model presumptions, and research methodologies to uphold high analytical standards.
Requirements:
- A Bachelor’s or Master’s degree in a quantitative discipline like Statistics, Mathematics, Computer Science, Physics, Financial Engineering, or related fields.
- Minimum of 2 years of experience working with extensive analytical or financial datasets.
- Proficient in statistics, probability, machine learning, and quantitative analysis.
- Knowledge of financial markets, trading principles, or investment data is beneficial.
- Advanced skills in Python, including popular data science and machine learning libraries (e.g., Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow).
- Strong aptitude in SQL and data querying.
- Experience handling high-volume or real-time data is advantageous.
- Strong problem-solving abilities with a detail-oriented and hypothesis-driven mindset.
Skills Required
Nahclimited
Website
Not specified
Company size
Not specified
Location
United States
Description
Not specified