Quantitative Data Engineer – Exciting Hedge Fund Opportunity in Singapore

SpringCube is hiring for the following positi0n.

Quantitative Data Engineer – Exciting Hedge Fund Opportunity in Singapore

An emerging hedge fund in Singapore, specializing in cutting-edge quantitative research and innovative investment strategies, is seeking an experienced Quantitative Data Developer. This is an excellent opportunity to contribute to a dynamic and growing team, where technology and data play a central role in shaping the firm’s success.

Key Responsibilities

• Collaborate with Quantitative Researchers to develop and optimize trading strategies.
• Build and maintain robust data pipelines to ensure the accuracy and availability of market data.
• Design and implement tools for data analysis, visualization, and model validation.
• Work with large datasets to derive insights that inform investment decisions.
• Explore and integrate emerging technologies to enhance system performance and capabilities.

Qualifications and Requirements

• Bachelor’s or advanced degree in Computer Science, Mathematics, Finance, or a related quantitative field.
• 3+ years of professional experience in a similar role, preferably within a hedge fund or quantitative finance environment.
• Proficiency in Python and experience with key libraries such as NumPy and pandas.
• Strong understanding of quantitative finance concepts and familiarity with financial instruments.
• Proven ability to work collaboratively in a fast-paced, team-oriented setting.
• Excellent communication skills, with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.

Preferred Skills

• Experience working with market data and real-time systems.
• Familiarity with advanced data analysis techniques and tools.
• Demonstrated interest in staying current with industry trends and new technologies.

This role offers a unique chance to grow with a forward-thinking hedge fund at the forefront of innovation in quantitative finance. If you thrive in a challenging and fast-paced environment and are passionate about the intersection of data and trading, this could be the perfect opportunity for you.