Senior Data Scientist

ioTech Solutions; Singapore; On-site; USD 80,000 - 150,000; Full time

Job summary

An established industry player is on the lookout for a talented Data Scientist to enhance their systematic trading models. This role involves leveraging advanced data analytics and machine learning techniques to develop predictive models, ensuring data integrity, and collaborating with various teams to integrate insights into trading systems. The ideal candidate will possess a strong foundation in data science and statistical analysis, alongside a keen understanding of financial markets. Join a dynamic environment that fosters professional development and innovation, where your contributions can significantly impact trading performance and strategy.

Benefits

Competitive Salary and Bonuses

Professional Development Opportunities

Comprehensive Benefits

Health Insurance

Retirement Plans

Qualifications

• 5+ years of experience in data science, preferably in finance.
• Proficiency in Python, R, or Java and machine learning frameworks.

Responsibilities

• Gather and preprocess large datasets for reliable analysis.
• Design and validate predictive models to optimize trading strategies.

Skills

Data Science

Statistical Analysis

Machine Learning

Analytical Skills

Programming Languages (Python, R, Java)

Data Collection

Data Integrity

Communication

Financial Acumen

Research

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Finance

Master's degree

PhD

Tools

TensorFlow

scikit-learn

Data Visualization Tools

Job description

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.