Front Office Java Developer - Geylang

apartmentMorgan McKinley placeGeylang scheduleFull-time calendar_month5/9/25

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

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