Total 3 software architect job vacancies in Construction / Property category

Responsibilities

• Project manage infrastructure and buildings projects with in new estate divisions
• Managing project budgets, schedule and resources
• Coordinating with team members and stakeholders as part of the design interface
• Reporting project status to management team as and when needed
• Assist in preparing development paper submissions as part of the funding approval process
• Interface and coordinate with government agencies/authority on any development issues
• Identify potential construction related issues or /and contractual disputes and provide appropriate solution, ensure a quality tender documents with all necessary requirements,
• Deliver the buildings and infrastructure on time
• Resolve technical and design issues with consultants and contractors

Requirements

• Background in Architecture, preferably with at least 3 to 5years of relevant working experience in developer, consultant or contractor firms.
• Experience in Project Management
• Is a team player with positive attitude & strong interpersonal and communication skill
• Proactive and positive in delivery day-to-day task
• Good in written communication and language skills
• Registered Professional Engineer / Registered Architect will be an added advantage

Role Overview

We are hiring a Quant Developer to build and optimize trading systems, research infrastructure, and data pipelines. This role sits at the intersection of quantitative research and engineering.

Key Responsibilities

• Develop and maintain trading systems, research tools, and data pipelines
• Collaborate with quant researchers to implement and optimize strategies
• Build backtesting frameworks and simulation environments
• Optimize system performance, latency, and scalability
• Handle large-scale market data processing and storage

Requirements

• 2–5+ years of experience in quant development or backend engineering
• Strong programming skills in Python and/or C++
• Solid understanding of data structures, algorithms, and system design
• Experience working with financial data or trading systems is preferred
• Familiarity with Linux environments and performance optimization
• Strong problem-solving skills and attention to detail

ROLEOVERVIEW(Initial six-month contract, extendable by mutual agreement)

We are seeking a software engineer to build and maintain the production systems that power systematic research and back testing, market data processing, execution, order placement, and risk management. This role sits close to the investment process and partners directly with quantitative researchers. The ideal candidate combines strong software engineering discipline with comfort in high-stakes, data-intensive environments where correctness, speed, and operational resilience all matter.

REQUIRED QUALIFICATIONS

·   Bachelor’s or Master’s degree in computer science, preferably from Nanyang Technological University or equivalent.

·   Strong programming ability in Python with 5+ years of post-university Python experience.

·   Solid understanding of networking, concurrency, distributed systems, SQL, and production service design.

·   Experience building reliable software for data-intensive systems, research platforms, exchanges, fintech, or other low-latency and high-availability environments.

PREFERREDQUALIFICATIONS

·   Exposure to systematic trading, market microstructure, exchange connectivity, FIX, OUCH, ITCH, or related market data protocols.

·   Familiarity with back testing, portfolio analytics, risk systems, transaction-cost analysis, and data lineage in an investment setting.

KEY RESPONSIBILITIES

·   Design, build, and maintain services for market data capture, normalization, storage, and distribution across various asset classes.

·   Develop and improve the software stack supporting research workflows, back testing, portfolio construction, trade generation, and post-trade analytics.

·   Build low-latency or real-time components for order routing, pre-trade checks, positions, P&L, and operational monitoring.

·   Partner with quants and researchers to produce models, data transformations, and simulation tools while preserving reproducibility and auditability.

·   Maintain security, access control, secrets handling, and environment consistency across development, staging, and production systems.

·   Contribute to architecture decisions, code review, and engineering standards that raise the reliability and maintainability of the platform.