Randstad Malaysia Hiring! Full Time Quantitative Developer (US Equities) - up to RM25k in Federal Territory - Ricebowl

• Public Transport Accessible
• Career Growth Opportunity
• Open Communication Culture
  
  

About The Company

Randstad has recently partnered with a financial services organization, utilizing cutting edge technology and secure systems to implement solutions for their clientele. Your future employers are seeking passionate and highly skilled candidates to join their growing team.

Key Responsibilities

• Systems Engineering: Design, develop, and maintain robust, high-performance, and scalable software systems for algorithmic trading, backtesting, and quantitative research.
• Model Implementation: Collaborate closely with Quantitative Researchers to translate mathematical models and trading signals into production-ready code.
• Data Pipeline Architecture: Build and optimize high-throughput data ingestion pipelines and manage vast amounts of historical and real-time market data.
• Performance Optimization: Continuously monitor and improve system latency, reliability, and throughput.
• Market Microstructure: Leverage your understanding of US equity markets to optimize execution algorithms, order routing, and market data processing.
  
  

Requirements

• Experience: Minimum of 3 years of professional experience as a Quantitative Developer, Software Engineer, or closely related role within the financial sector.
• Domain Expertise: Proven, hands-on experience working with US equities, including a strong understanding of market microstructure, exchange mechanics, and order types.
• Expert-level proficiency in Python, particularly the scientific and data stack (Pandas, NumPy, SciPy).
• Strong proficiency in C++ (modern standards) for performance-critical system development.
• Systems Knowledge: Deep understanding of Linux/UNIX environments, shell scripting, and network programming (TCP/IP, Multicast).
• Data Technologies: Experience with time-series databases (e.g., kdb+/q, InfluxDB) and relational databases (SQL).
• Mathematical Foundation: Solid grasp of probability, statistics, and linear algebra.
• Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
  
  

Nice To Have

• Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
• Familiarity with alternative data sets or machine learning frameworks (PyTorch, TensorFlow).
• Prior experience building or optimizing low-latency execution systems.
• Knowledge of Rust or Go.
  
  

how to apply

Kindly click on the applicable link to apply if you are interested and suitable for this role. Alternatively, you can reach out to me via LinkedIn for a confidential discussion.

Sundar Ravindran | Randstad