Senior Data Scientist

Our client is a US-Headquartered hedge fund that leverages 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: Bachelor's or Master's 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.

Additional Information

• 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, Algorithms, Data Science, Analytics, Analytical Skills, Programming Languages, Machine Learning, Statistics, Research, Finance, Communication, Management.