Software Engineer, Connectivity

UBS AG; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

UBS AG in Singapore seeks a seasoned electronic trading professional to translate business and technology needs into updates for the ultra-low latency trading stack. You will coordinate with vendors, stock exchanges, and clients, and work with network/infrastructure teams to shape trading network architectures.

You will provide third-level production support and strengthen client relationships across APAC. This role requires strong Python/Unix skills, FIX messaging experience, and a deep

Qualifications

• 5+ years in electronic trading within finance
• Strong Python and Unix (Linux) skills
• Strong FIX messaging experience
• Familiar with trading tech (FPGA, low-latency networks) and exchange protocols
• Expertise in Equities Trading platforms and trading lifecycle
• Experience with front/middle/back office systems
• Experience with stock exchanges and trading & market data infra
• Curious about applying AI to improve workflows with sound judgment and policy alignment

Responsibilities

• Translate business and tech requirements into changes within the low-latency trading stack
• Coordinate/manage technical changes with vendors, exchanges, carriers and clients
• Collaborate with network and infrastructure teams on network architecture decisions
• Work with production services for third-level, platinum client support
• Build relationships and communicate across APAC regions

Skills

5+ years experience

Python

Unix/Linux

Shell scripting

FIX messaging

FPGA

Low-latency networks

Exchange protocols

Equities trading

Trading lifecycle

Cross-region collaboration

Tools

N/A

Job description

Key responsibilities :

• translate business and technology requirements for new functionality / venues / upgrades into technical changes within the low-latency trading stack
• coordinate/manage technical changes with internal and external teams including vendors, stock exchanges, carriers and clients
• work with aligned network and infrastructure teams to help make key decisions on the design of the network architecture based on application requirements
• partner with production services team to provide third-level, platinum support for our clients
• build relationships and communicate effectively with colleagues in all regions throughout APAC

The team :

You’ll be working in the APAC Quant Solutions team, one of the fastest paced business units in Electronic

Trading. We deliver tailor-made ultra-low latency trading solutions to our clients across the globe. The team

is responsible for the delivery of high-quality solutions for the business and its clients, remaining on the

forefront of exchange technology across APAC markets.

In our agile operating model, team members fulfill varied roles within the SDLC providing the opportunity for

front-to-back ownership of deliverables from incubation and requirement gathering through to delivery.

The Quant Solutions business provides low and ultra-low latency Co-Located solutions to its clients servicing

markets including Australia, China, Hong Kong, Japan and Taiwan.

This is a growing team dispersed across Australia, Hong Kong, Japan, Singapore and Pune comprising of

application and infrastructure specialists.

Your skills and experience :

• +5 years of experience in a similar position focused on electronic trading within the finance sector
• strong Python and Unix skills (especially Linux) including shell scripting
• strong FIX messaging experience within an electronic trading capacity
• familiar with broad areas of trading technology (including FPGA, low-latency networks, low-latency application development and exchange protocols such as OUCH, Arrowhead, HKEX CCCG & OCG)
• expertise in Equities Trading platforms and the Trading Life Cycle (Low-latency trading, co-location setup)
• experience with systems across front, middle, and back office
• experience working with stock exchanges and the management of trading & market data infrastructure
• You’re curious to explore how AI can improve how we build, deliver and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standard and ethical use