Company Summary:
This opportunity is with a globally recognized financial institution that provides a broad range of capital
markets products and services. With a strong presence in North America, Europe, and Asia, the
organization is known for its focus on innovation, risk management, and customer-centric strategies.
Its global technology teams are at the heart of developing front-office trading systems that power
decision-making for institutional investors and corporate clients worldwide.
Position Overview:
Join a high-impact engineering team within the front-office technology division, dedicated to delivering
real-time pricing and risk solutions across fixed income and derivative products. This team
collaborates closely with traders, sales personnel, and quantitative analysts to design and implement
mission-critical systems used in global trading operations. Engineers contribute directly to the
build-out of high-performance applications used for electronic trading, with a focus on cross-asset
functionality and scalable system architecture.
Responsibilities:
- Lead the development and optimization of high-performance pricing and risk computation services for use in front-office trading
- Collaborate with traders, sales, and quantitative developers to translate complex model requirements into scalable engineering solutions.
- Work with platform and infrastructure teams to integrate pricing outputs into electronic distribution channels.
- Ensure code quality through robust unit and regression testing frameworks integrated into CI/CD pipelines.
- Mentor peers and contribute to architectural planning, with a focus on performance, security, and operational reliability.
- Manage concurrent development streams in a fast-paced Agile environment.
Required Qualifications:
- Minimum 8 years' experience in a similar front-office engineering role delivering trading or risk solutions
- Proficient in Core Java (JDK 11+), with strong understanding of multi-threaded and event-driven programming paradigms
- Experience working directly with end-users in trading or quant teams
- Familiarity with building real-time systems and low-latency messaging infrastructure
- Solid understanding of automated testing frameworks and DevOps practices
If you're interested in the above role, click on the 'apply' function now! Alternatively, you can contact Mon Fei at for a confidential discussion. Only shortlisted candidates will be notified.
Morgan McKinley Pte Ltd
Chow Mon Fei
EA Licence No: 11C5502
EA Registration No. R1877534
