Senior Data Scientist

ioTech Solutions; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading hedge fund in Singapore is seeking a skilled Data Scientist to enhance systematic trading models. The ideal candidate will possess strong data science skills and a background in financial markets. Responsibilities include managing large datasets, developing predictive models, and performing quantitative analysis. Competitive salary and comprehensive benefits are offered.

Benefits

Health insurance

Retirement plans

Performance-based bonuses

Qualifications

• 5+ years of experience in data science, preferably in finance.
• Proficiency in programming languages such as Python, R, or Java.
• Understanding of financial instruments and trading strategies is advantageous.

Responsibilities

• Gather, clean, and preprocess large datasets from financial sources.
• Design and validate predictive models to optimize trading strategies.
• Perform statistical analysis to identify trends in financial markets.

Skills

Data Analysis

Data Visualization

Statistical Analysis

Machine Learning

Education

Bachelor's or Master's degree in Data Science or related field

Tools

Python

R

Java

TensorFlow

scikit-learn

Job description

Our client is a US-Headquartrered hedge fund wholeverage 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 preferablyfinancial 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 strategiesis advantageous.
• 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