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Quantitative Technology Analyst - Job Opportunity at QUBE RESEARCH & TECHNOLOGIES SINGAPORE PTE. LTD.

Singapore, Singapore
Full-time
Mid-level
Posted: July 23, 2025
On-site
SGD 8,000 - 16,000 per month

Benefits

Opportunity to work with cutting-edge algorithmic trading technology that positions professionals at the forefront of financial innovation
Direct collaboration with traders and quants providing exposure to high-level strategic decision-making processes
Comprehensive technical skill development through work on diverse systems including electronic trading, backtesting, and risk management platforms
Career advancement potential within a specialized quantitative finance environment known for competitive compensation structures

Key Responsibilities

Drive the development and enhancement of mission-critical trading infrastructure components that directly impact the firm's competitive advantage in algorithmic trading markets
Lead the strategic rollout and operational support of trading strategies, working directly with senior traders and quantitative researchers to optimize performance
Architect and maintain sophisticated trading framework software that serves as the backbone for the firm's electronic trading operations
Design and implement advanced data feed applications that ensure real-time market data integrity and system reliability
Provide technical leadership for ad-hoc infrastructure projects, databases, and processes that support the firm's expanding quantitative trading capabilities

Requirements

Education

Bachelors or Masters' degree in quantitative discipline from top global university

Experience

Previous work experience in the front office, market making experience is advantageous

Required Skills

Strong analytical skills attention to details Strong OO languages such as Python/C++ interest to expand technical skills Strong team-player
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Sauge AI Market Intelligence

Industry Trends

The quantitative finance industry is experiencing unprecedented growth in algorithmic trading capabilities, with firms increasingly investing in sophisticated technology infrastructure to gain competitive advantages in high-frequency and systematic trading strategies. This trend is particularly pronounced in Asian markets where regulatory frameworks are becoming more conducive to electronic trading. Financial technology roles in Singapore are benefiting from the city-state's position as a leading fintech hub in Asia, with significant government support through initiatives like the Monetary Authority of Singapore's fintech regulatory sandbox and substantial investments in digital financial services infrastructure. The integration of artificial intelligence and machine learning in trading systems is creating demand for professionals who can bridge the gap between quantitative research and technology implementation, making roles like this increasingly strategic within investment management firms.

Salary Evaluation

The provided salary range of SGD 8,000-16,000 monthly (approximately USD 72,000-144,000 annually) is competitive for Singapore's quantitative finance market, reflecting the specialized nature of the role and the premium commanded by front-office technology positions in systematic trading firms.

Role Significance

Typically operates within a focused technology team of 8-15 professionals supporting trading operations, with close collaboration across quantitative research, risk management, and front-office trading desks in a matrix organizational structure.
This is a mid-level position with significant technical responsibility and direct interaction with senior stakeholders including traders and quantitative researchers, indicating substantial influence on trading operations and system architecture decisions within the organization.

Key Projects

Implementation of next-generation algorithmic trading platforms that can process thousands of trades per second with microsecond latency requirements Development of sophisticated backtesting frameworks that enable quantitative researchers to validate trading strategies across multiple asset classes and market conditions Design and deployment of real-time risk management systems that monitor portfolio exposure and automatically implement risk controls across all trading strategies

Success Factors

Deep technical proficiency in object-oriented programming languages combined with strong understanding of financial markets and trading operations, enabling effective translation of trading requirements into robust software solutions Exceptional analytical and problem-solving capabilities that allow for rapid diagnosis and resolution of complex technical issues in high-pressure trading environments where system downtime can result in significant financial losses Strong collaborative skills and ability to work effectively with both technical and non-technical stakeholders, facilitating clear communication between quantitative researchers, traders, and technology teams Continuous learning mindset and adaptability to rapidly evolving technology landscape in quantitative finance, including emerging areas such as cloud computing, machine learning, and alternative data sources

Market Demand

High demand driven by the rapid expansion of quantitative trading strategies and the critical need for specialized technology professionals who can support complex algorithmic trading infrastructure in one of Asia's most important financial centers.

Important Skills

Critical Skills

Object-oriented programming expertise in Python and C++ is absolutely essential as these languages form the foundation of modern quantitative trading systems, with Python providing rapid development capabilities for research and prototyping while C++ delivers the performance required for low-latency trading execution Strong analytical skills are fundamental to success in this role as they enable the professional to understand complex trading strategies, diagnose system issues, and optimize performance across multiple dimensions including speed, accuracy, and reliability Attention to detail is critical in quantitative trading environments where small errors can result in significant financial losses, making precision and thoroughness essential qualities for anyone working on trading infrastructure

Beneficial Skills

Experience with distributed computing and cloud technologies is increasingly valuable as trading firms migrate to more scalable and flexible infrastructure solutions Knowledge of financial markets and trading concepts enhances effectiveness in translating business requirements into technical solutions Understanding of statistical analysis and machine learning techniques provides advantages in supporting quantitative research initiatives and strategy development processes

Unique Aspects

Direct involvement in building proprietary trading infrastructure for a leading systematic investment manager, providing exposure to cutting-edge quantitative finance technology that is typically not available in traditional financial institutions
Opportunity to work across multiple aspects of the trading technology stack, from low-latency execution systems to sophisticated risk management platforms, offering unusually broad technical experience in a single role
Position within Singapore's rapidly growing quantitative finance ecosystem, providing access to a concentration of world-class talent and innovative trading strategies in one of Asia's most important financial centers
Exposure to global markets and trading strategies through QRT's international presence, while benefiting from the focused expertise and resources of a specialized quantitative investment firm

Career Growth

Typical progression to senior roles occurs within 3-5 years, with advancement to leadership positions possible within 5-7 years depending on performance and market opportunities in Singapore's competitive quantitative finance sector.

Potential Next Roles

Senior Quantitative Developer positions with expanded responsibility for system architecture and team leadership Quantitative Researcher roles focusing on strategy development and implementation Technology Team Lead or Engineering Manager positions overseeing larger development teams Product Manager roles in financial technology companies or trading system vendors

Company Overview

QUBE RESEARCH & TECHNOLOGIES SINGAPORE PTE. LTD.

Qube Research & Technologies is a systematic investment manager that applies scientific methodology to investment management, operating as a global quantitative and systematic trading firm with significant presence in major financial centers including London, New York, and Singapore.

Positioned as a leading player in the systematic trading space, competing with top-tier quantitative hedge funds and proprietary trading firms, with a reputation for sophisticated technology infrastructure and rigorous quantitative research methodologies.
The Singapore office serves as QRT's primary Asia-Pacific hub, capitalizing on Singapore's strategic position for accessing Asian markets and benefiting from the region's favorable regulatory environment for systematic trading strategies.
Characterized by a highly analytical and collaborative environment that emphasizes scientific rigor, continuous innovation, and performance excellence, with a flat organizational structure that encourages direct communication between technology professionals and senior investment decision-makers.
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