Singapore, Singapore

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