Senior Data Scientist
Job Description:
Data Scientist - Systematic Hedge Fund
Overview
Our client is a US-Headquartrerd hedge fund who leverage advanced data analytics and cutting-edge technology to drive investment strategies. They are seeking a highly skilled and motivated Data Scientist to contribute to our systematic trading models. The ideal candidate will have a strong background in data science, statistical analysis, and preferably financial markets.
Key Responsibilities
- Data Collection and Management: Gather, clean, and preprocess large datasets from various financial sources. Ensure data integrity and accuracy for reliable analysis.
- Model Development: Design, implement, and validate predictive models and algorithms to optimize trading strategies. Use machine learning techniques to enhance model performance.
- Quantitative Analysis: Perform in-depth statistical analysis to identify trends, patterns, and anomalies in financial markets. Translate findings into actionable insights for trading decisions.
- Collaboration and Communication: Work closely with portfolio managers, traders, and IT teams to integrate models into trading systems. Communicate complex concepts and results effectively to non-technical stakeholders.
- Research and Innovation: Stay abreast of the latest developments in data science, machine learning, and finance. Propose and experiment with innovative approaches to improve trading performance.
Qualifications
- Education: Bachelors or Masters degree in Data Science, Statistics, Computer Science, Finance, or a related field. PhD is a plus.
- Experience: 5+ years of experience in data science, preferably within the financial industry or a similar quantitative field.
- Technical Skills: Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn) and data visualization tools.
- Analytical Skills: Strong problem-solving abilities with a keen eye for detail. Ability to work with complex datasets and derive meaningful insights.
- Financial Acumen: Understanding of financial instruments, markets, and trading strategies is advantageous.
Benefits
- Competitive Salary and Bonuses: Attractive compensation package with performance-based bonuses.
- Professional Development: Opportunities for continuous learning and career advancement in a supportive and collaborative environment.
- Comprehensive Benefits: Health insurance, retirement plans, and other employee benefits.
Required Skills:
Analysis Visualization Data Integrity Data Collection Trading Data Visualization Algorithms Data Science Salary Data Analytics Analytical Skills Compensation Programming Languages Machine Learning Statistics R Insurance Analytics Programming Computer Science Education Research Java Finance Python Design Science Communication Management