Fintech Software Engineer: Real-Time Trading & Data Systems

BAH Partners Limited; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation

Bonuses

Global exposure

Collaborative environment

Cutting-edge technology

Job summary

BAH Partners Limited in Hong Kong is seeking Software Engineers to join a cutting-edge fintech team that builds mission-critical systems for traders and researchers. You will design, develop, and maintain high-performance software, contributing across the full SDLC in a fast-paced environment.

The role emphasizes problem-solving, learning, and collaboration with mathematicians and computer scientists to push the boundaries of financial technology.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in Python, C++, or Java.
• Experience with distributed systems, parallel computing, or high-frequency trading is a plus.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy high-performance software solutions.
• Contribute to the software development life cycle from requirements gathering to deployment.
• Implement cutting-edge algorithms and data structures to optimize trading strategies and risk management systems.
• Explore emerging technologies and evaluate their impact on our software infrastructure.
• Identify and address performance bottlenecks, security vulnerabilities, and scalability challenges.

Skills

Python/Java/C++

Distributed systems

Algorithms

Data structures

Education

Bachelor’s in CS/SE

Master’s degree

Job description

BAH Partners Limited in Hong Kong is seeking Software Engineers to join a cutting-edge fintech team that builds mission-critical systems for traders and researchers. You will design, develop, and maintain high-performance software, contributing across the full SDLC in a fast-paced environment.

The role emphasizes problem-solving, learning, and collaboration with mathematicians and computer scientists to push the boundaries of financial technology.