1,000 Quantitative Developer jobs in Singapore

Our client, a well- established global investment firm in Singapore is looking to expand their business within the Asia Pacific region. The company is looking for a Quantitative Developer (Risk) to join them. This role is pivotal in ensuring the integrity of the company’s operations and establishing standards.

This role offers a unique opportunity to gain hands-on experience in quantitative finance and software development within a dynamic and fast-paced environment. The successful candidate will work closely with experienced professionals to assist in the development, implementation, and testing of quantitative models and risk management tools used to assess market risk exposures.

Please contact Sophia Lin via email, you can send your cv directlyin word format with job reference no. 15381 to

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days we regret to inform you that your application for this position was unsuccessful.

EA Licence: 16S8131

Recruiter Licence: R

Overview

I am seeking a highly skilled Quant Developer to join a dynamic trading team in Singapore . As a key member of the technology-driven trading environment, you will be responsible for designing, developing, and optimizing cutting-edge trading systems and quantitative tools that drive trading strategies.

This role is ideal for someone with a strong background in software development , financial markets , and a passion for working at the intersection of technology and quantitative research .

• Develop, enhance, and maintain high-performance trading systems across multiple asset classes.
• Collaborate closely with quantitative researchers, traders, and infrastructure teams to design and implement scalable solutions.
• Optimize execution algorithms and data pipelines for speed and reliability.
• Analyze large datasets and integrate market data feeds into trading platforms.
• Ensure systems operate with low latency, high reliability, and accuracy in real-time trading environments.

• Proven experience as a Quant Developer or Software Engineer in a trading environment.
• Strong programming skills in Python , C++ , or Java .
• Deep understanding of market microstructure , trading workflows, and electronic trading systems.
• Experience with real-time systems , low-latency architecture , and data structures .
• Familiarity with exchange APIs, FIX protocols, and market data handlers.
• Background in computer science , engineering , or a quantitative discipline (e.g., math, physics, statistics).
• Excellent problem-solving skills and the ability to work in a fast-paced environment.

• Experience with machine learning , signal generation , or statistical modeling .
• Exposure to cloud infrastructure (e.g., AWS, GCP) or containerized environments (e.g., Docker, Kubernetes).
• Previous experience in high-frequency trading (HFT) or systematic strategies .

• Mid-Senior level

• Full-time

• Finance

• Financial Services and Capital Markets

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Direct message the job poster from Fionics

40+ leading quant firms seeking top-tier developers. Multiple immediate openings.

What you'll do:

• Build low-latency trading systems and infrastructure
• Develop quantitative libraries and research platforms
• Optimize execution algorithms and risk systems

Requirements:

• Financial markets and trading systems knowledge

Our network:

Pay: $180K-$M+ based on experience

Focus: Ultra-low latency, systematic platforms, research infrastructure

From prop trading tech to systematic fund platforms.

Ready to build the future of trading? Apply now for confidential discussions.

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Finance
• Industries Capital Markets, Financial Services, and Software Development

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Overview

Our client is seeking a Quant Developer with strong Java expertise to strengthen our trading technology team. This position involves designing and optimising real-time, low-latency trading platforms that support fast and reliable execution. The role requires close collaboration with traders, quantitative analysts, and fellow engineers to deliver innovative solutions that enhance trading performance.

• Design, enhance, and maintain high-speed trading systems and applications built in Java.
• Develop components for streaming data, trade execution, and order flow management .
• Work alongside traders and technology teams to embed quantitative strategies within the platform.
• Drive performance improvements , carrying out in-depth testing, debugging, and issue resolution.
• Oversee and support live trading environments , ensuring stability, uptime, and smooth operation.

• Degree in Computer Science, Mathematics, Engineering, or related field.
• 5+ years of experience in Java programming , including concurrency, memory management, and performance tuning.
• Deep knowledge of low-latency application design and real-time systems .
• Familiarity with electronic trading infrastructure such as market data feeds, execution gateways, and order management workflows.
• Solid understanding of algorithms, data structures, and software design principles .
• Ability to work effectively in a high-pressure trading environment.

• Mid-Senior level

• Full-time

• Information Technology

Overview

We are seeking a talented and motivated Quantitative Developer to join a fast-paced team. In this role, you will work closely with quants and technologists to design, develop, and maintain tools and systems that drive data analysis, model implementation, and trading strategy execution.

• Collaborate with quantitative researchers, traders and portfolio Managers to implement and optimize pricing models, risk tools, and trading strategies.
• Develop high-performance software components in C++ or Python , ensuring reliability, scalability, and maintainability.
• Integrate market data feeds, analytics libraries, and execution engines into a cohesive research and production environment.
• Maintain and improve codebase, including testing, documentation, and version control best practices.
• Participate in code reviews and contribute to system architecture discussions.

• Strong programming skills in C++ or Python , with experience in developing production-quality software.
• Solid understanding of data structures, algorithms, and object-oriented programming.
• Familiarity with financial instruments, time series data, and basic quantitative methods.
• Experience working in Linux environments and with source control tools (e.g., Git).
• Comfortable working in a collaborative, fast-paced environment with shifting priorities.

Please reach out to for more information.

EA License no.: 16S8066

Reg. No. R

• Director

• Full-time

• Information Technology, Engineering, and Finance

• Software Development, Financial Services, and Investment Management

The 0epsilon team is responsible for putting together a best-in-class mid-frequency trading platform. We are looking for an enthusiastic and talented Software Engineer to join our team. The ideal candidate thrives in ambiguous, fast-paced environments, is excited about building products from the ground up, has strong experience and proficiency in Python and Cython, and will be responsible for developing and maintaining our trading infrastructure.

Key Responsibilities

• Participate in the design and implementation of our trading infrastructure from scratch
• Collaborate with stakeholders to define technical requirements and architectural decisions
• Write clean, well-documented code with appropriate test coverage
• Participate in code reviews and contribute to technical documentation
• Assist in troubleshooting and debugging production issues
• Be on-call on a rotating basis
• Help establish engineering best practices and coding standards
• Mentor future junior team members as we scale
• Take ownership of smaller projects and features from design to deployment

Requirements

• Able to thrive in the crucible of an extremely fast-paced, demanding start-up like environment
• Able to bear immense responsibility for high-stakes, large-scale production infrastructure
• Highly proficient in machine learning, with preference towards deep-learning architectures
• High proficiency in Python and proficient in Pytorch and Polars
• Experience with SQL-like databases, such as Postgres and Clickhouse database is a plus
• Experience with Cython in a performance sensitive environment is a plus
• Some knowledge of financial markets and instruments is a plus

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Key Responsibilities

• Design, build, and maintain low-latency trading systems and infrastructure tailored for digital assets.
• Collaborate with quantitative researchers to implement, backtest, and deploy systematic strategies.
• Develop robust data pipelines and research frameworks to support strategy development.
• Enhance execution algorithms, market data handling, and risk management tools.
• Monitor system performance, debug production issues, and ensure high system availability.
• Continuously optimize code and infrastructure for efficiency and scalability.
• Document development processes and maintain coding best practices across the team.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
• 6-10 years of development experience, with at least 2+ years in the crypto trading industry.
• Strong programming skills in C++ and/or Rust (Python for research and prototyping).
• Proven experience building quant trading systems (market data, execution, risk management).
• Familiarity with exchange APIs, order book structures, and crypto-specific market microstructure.
• Solid understanding of algorithms, data structures, and low-latency/high-performance optimization.
• Experience with distributed systems, cloud computing, and databases.
• Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.

Key Responsibilities

• Design, build, and maintain low-latency trading systems and infrastructure tailored for digital assets.
• Collaborate with quantitative researchers to implement, backtest, and deploy systematic strategies.
• Develop robust data pipelines and research frameworks to support strategy development.
• Enhance execution algorithms, market data handling, and risk management tools.
• Monitor system performance, debug production issues, and ensure high system availability.
• Continuously optimize code and infrastructure for efficiency and scalability.
• Document development processes and maintain coding best practices across the team.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
• 6-10 years of development experience, with at least 2+ years in the crypto trading industry.
• Strong programming skills in C++ and/or Rust (Python for research and prototyping).
• Proven experience building quant trading systems (market data, execution, risk management).
• Familiarity with exchange APIs, order book structures, and crypto-specific market microstructure.
• Solid understanding of algorithms, data structures, and low-latency/high-performance optimization.
• Experience with distributed systems, cloud computing, and databases.
• Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.

QCP is Asia's leading digital asset partner, empowering clients to seamlessly integrate digital assets into their portfolios.

We offer a comprehensive range of solutions - from spot on/off ramping and fixed income strategies to vanilla options and bespoke exotics.

Driven by the vision to be the most trusted partner in digital asset markets, we provide innovative solutions that make digital assets a core component of every portfolio, balance sheet, and treasury.

Since our founding in 2017, we have witnessed the potential of digital assets to transform financial markets and the world at large. We exist at the centre of change, successfully navigating three market cycles and bridging institutional and crypto ecosystems.

We work to build trusted partnerships, putting client success and care at the heart of everything that we do.

Responsibilities

As a Quantitative Developer for a systematic trading firm, your role will be within a trading team that is building and maintaining the proprietary systems that the Relative Value Vol Arb group is using on a day-to-day basis.

• Work within a small team of quant developers under direction from the product manager responsible for the trading strategies.
• The daily tasks will centre on
• Developing risk management tools,
• Maintaining and developing market adaptors + gateways
• Optimisation of trading signals, and execution.
• Writing and maintaining of derivative pricing models, including calibration to market conditions.

• Bachelor's or Master's degree in computer science, engineering, or a related field.
• At least 2 years experience working in a formal programming language. Knowledge in Java is an advantage but not a requirement.
• Experience in developing trading systems and exchange gateway integrations
• Ability to work on derivatives pricing models.

The Environment We Offer

As a growing firm with a tightly-knit team, we respect and listen to all our employees. You will get the chance to make an impact by having your voice heard by everyone, including the management.

Our employees enjoy a high level of autonomy at work. We focus on substance, not form - as long as you can perform, you will be recognized and rewarded. We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long- term.

We also provide flexible working arrangement as required and a casual and fun environment to boot!