Role Overview

We are looking for a smart, technically strong, and trading-savvy HFT Quality Assurance Engineer to ensure the reliability, accuracy, and performance of our high-frequency trading systems.

This role blends deep trading domain expertise, hands-on testing and automation, and strategic QA leadership. You will own the end-to-end release testing process, develop test frameworks, and lead virtual exchange simulation development to replicate live market conditions for robust validation.

You'll also help onboard new quants, build better testing discipline across teams, and eventually take a lead role in scaling QA coverage across venues and strategies.

Key Responsibilities

Release Quality & Testing

• Own the release validation process for new HFT strategies, infrastructure, and trading system features
• Conduct functional, regression, performance, and latency testing across multiple venues
• Ensure all releases meet stringent low-latency, correctness, and reliability standards

Test Design & Automation

• Design and maintain black-box and white-box test cases for algorithmic logic, order routing, and exchange connectivity
• Build, enhance, and automate test frameworks using Python, PyTest, unittest, and Robot Framework
• Use Google Test (gTest) and Google Benchmark for validating and benchmarking C++ modules
• Expand automation coverage and continuously improve the QA toolchain and CI/CD integration

Virtual Exchange Development

• Own the development, maintenance, and enhancement of the virtual exchange simulation platform used for strategy validation
• Model realistic market microstructure, order book behavior, latency conditions, and exchange responses
• Collaborate with quants and developers to ensure the virtual exchange accurately mirrors live trading environments
• Integrate the virtual exchange with automated test pipelines to simulate trading scenarios pre-deployment

Trading Knowledge Application

• Leverage deep understanding of market structure, order types, matching engines, and latency-sensitive execution
• Analyze performance across multiple exchanges and asset classes
• Partner with trading and quant teams to validate strategy logic and identify edge cases

Onboarding & Mentorship

• Help onboard new quants, ensuring they understand testing processes, frameworks, and infrastructure
• Maintain comprehensive QA documentation, onboarding guides, and process playbooks

Leadership & Future Growth

• Define and evolve QA best practices for HFT and low-latency systems
• Lead efforts to expand coverage across multiple exchanges, products, and geographies
• Mentor junior testers and take on team leadership responsibilities as QA capabilities scale

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
• Strong Python programming skills — must be able to design and automate end-to-end tests
• Hands-on experience with PyTest, unittest, Robot Framework, Google Test (gTest), and Google Benchmark
• Deep understanding of trading systems, order lifecycle, market data feeds, and exchange protocols (FIX, ITCH, OUCH)
• Experience designing and executing black-box and white-box tests for low-latency or distributed systems
• Strong debugging, analytical, and problem-solving skills
• Excellent communication and collaboration abilities, especially with quants and developers

Nice to Have

• Experience with C++ for deeper code-level testing or benchmarking
• Exposure to low-latency systems, network profiling, and performance optimization
• Familiarity with multi-venue trading and cross-market QA coverage
• Experience integrating tests with CI/CD pipelines (e.g., Jenkins, GitLab CI)

Personal Attributes

• Smart, curious, and detail-oriented with strong analytical thinking
• Passionate about trading technology and testing excellence
• Fast learner who thrives in high-performance environments
• Leadership-driven, with a proactive approach to improving systems and mentoring others

About The Role

We're looking for a sharp, execution-driven Quant Developer to work closely with researchers in turning ideas into production strategies. This role is pivotal in extending our strategy footprint across geographies and accelerating the research-to-deploy cycle through robust engineering and smart infrastructure design.

Key Responsibilities

• Partner with quant researchers to design and implement backtests, simulations, and live trading systems
• Build scalable, fault-tolerant infrastructure for multi-asset, multi-geo strategy deployment
• Enforce strong data validation/sanity pipelines and maintain high data hygiene across the stack
• Collaborate with trading, ops, and infra teams to keep systems performant, lean, and auditable
• Own and evolve our cloud-based research stack to dramatically speed up backtesting and experimentation

Required Skills & Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field
• 3+ years of software development experience, ideally in quantitative finance, trading systems, or data-intensive environments
• Strong proficiency in Python for backtesting, data pipelines, and strategy prototyping
• Solid understanding of C++ for performance-critical components
• Experience with distributed systems, cloud infrastructure (AWS/GCP), and modern DevOps practices
• Deep knowledge of data structures, algorithms, and system design principles
• Ability to read, debug, and optimize existing codebases efficiently

Nice to Have

• Prior experience working with quantitative researchers or traders
• Familiarity with low-latency systems and high-frequency trading
• Knowledge of statistical methods, machine learning, or market microstructure
• Experience with time-series databases and distributed computing frameworks

What We Offer

• Work directly with top-tier quant researchers on cutting-edge trading strategies
• Ownership over critical infrastructure that drives our trading operations
• Collaborative, meritocratic culture where good ideas win
• Competitive compensation with performance-based bonuses

About The Role

Photon, a proprietary trading firm, seeks experienced Software Developers for our Core Engineering team. These systems enable Photon to execute algorithmic trading strategies based on patterns in market behaviour.

By building and maintaining this high-performance infrastructure, Photon developers have helped to position the firm as a leader in the field of quantitative trading.

Key Responsibilities

• Designing and implementing a high-frequency trading platform, which includes collecting quotes and trades, and disseminating orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques, to minimize latency
• Building and improving our automated risk controls, risk monitoring solutions and real-time reconciliation systems
• Developing systems that provide easy access to historical market data and trading simulations
• Shaping the future of the Core Engineering team through regular interviewing, and occasional campus recruiting trips

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of professional software development experience
• Proficiency in C++ programming with a focus on performance optimization, data structures, algorithms, and object-oriented design
• Brilliant problem-solving abilities
• Strong understanding of Linux operating systems
• Strong written and verbal communication skills in English
• The ability to manage multiple tasks in a fast-paced environment

Nice to Have

• Knowledge of other development languages, including Java, Python, and Shell scripts
• Experience with low-latency systems and network programming
• Familiarity with financial markets and trading systems
• Excited to design in-house trading systems that are robust, resilient, and extremely performant

About The Role

Photon, a proprietary trading firm, seeks Senior Software Developers for our Core Engineering team. As a senior member, you'll lead the architecture and design of our critical trading infrastructure while mentoring junior developers.

These systems enable Photon to execute algorithmic trading strategies based on patterns in market behaviour at ultra-low latency.

Key Responsibilities

• Lead architecture and design of high-frequency trading platform components
• Designing and implementing a high-frequency trading platform, which includes collecting quotes and trades, and disseminating orders to exchanges around the world
• Optimizing the platform by using network and systems programming, as well as other advanced techniques, to minimize latency to microseconds
• Building and improving our automated risk controls, risk monitoring solutions and real-time reconciliation systems
• Developing systems that provide easy access to historical market data and trading simulations
• Mentor and guide junior developers, conducting code reviews and establishing best practices
• Drive technical standards and architectural decisions for the Core Engineering team
• Shape the future of the Core Engineering team through technical leadership, regular interviewing, and campus recruiting

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 8+ years of professional software development experience, with at least 3 years in a senior or lead role
• Expert-level proficiency in C++ programming with a focus on performance optimization, data structures, algorithms, and object-oriented design
• Proven track record of designing and implementing large-scale, high-performance systems
• Strong understanding of Linux operating systems and low-latency optimization techniques
• Experience with system architecture, distributed systems, and concurrent programming
• Excellent communication and leadership skills
• Ability to mentor junior developers and lead technical initiatives

Nice to Have

• Experience in financial markets or high-frequency trading
• Knowledge of other development languages, including Java, Python, and Shell scripts
• Expertise in network programming and FPGA/hardware acceleration
• Experience with exchange protocols (FIX, ITCH, OUCH) and market data systems
• Track record of building systems that achieve sub-microsecond latencies

About The Role

Photon seeks an experienced Network Engineer to design, implement, and maintain the network infrastructure that powers our high-frequency trading operations. You'll work on cutting-edge networking technology to achieve the lowest possible latency and maximum reliability.

Key Responsibilities

• Design and implement ultra-low latency network architecture for high-frequency trading systems
• Deploy and manage network infrastructure connecting trading systems to exchanges worldwide
• Optimize network performance through kernel bypass techniques, hardware tuning, and protocol optimization
• Monitor network performance and troubleshoot complex latency and connectivity issues
• Collaborate with trading, development, and operations teams to ensure network meets business requirements
• Implement and maintain network security best practices without compromising performance
• Evaluate and integrate new networking technologies and hardware

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience in network engineering, ideally in financial services or low-latency environments
• Deep understanding of TCP/IP, UDP, multicast, and other network protocols
• Hands-on experience with Cisco, Arista, Juniper or similar enterprise networking equipment
• Strong knowledge of Linux networking stack and performance tuning
• Experience with network monitoring tools and packet analysis (Wireshark, tcpdump, etc.)
• Understanding of network security principles and best practices
• Excellent troubleshooting and problem-solving skills

Nice to Have

• Experience with high-frequency trading or ultra-low latency network environments
• Knowledge of kernel bypass technologies (DPDK, Solarflare, Mellanox)
• Familiarity with exchange connectivity and co-location facilities
• Understanding of market data protocols and trading infrastructure
• Certifications such as CCIE, JNCIE, or equivalent
• Experience with network automation and infrastructure as code

About The Role

Start your career in quantitative trading by joining our strategy research team. As a Junior Quant Strategist, you'll work with experienced researchers to develop, test, and deploy systematic trading strategies across multiple asset classes and markets.

Key Responsibilities

• Develop and test quantitative trading strategies using statistical and machine learning techniques
• Analyze market data to identify trading opportunities and patterns
• Implement and back-test trading models using Python and other tools
• Collaborate with senior strategists on research projects and strategy enhancements
• Monitor live strategy performance and conduct post-trade analysis
• Build and maintain data pipelines for strategy research
• Document research findings and present ideas to the team

Required Skills & Qualifications

• Bachelor's or Master's degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or related quantitative field
• 0-2 years of experience in quantitative research, trading, or related fields
• Strong programming skills in Python for data analysis and strategy implementation
• Solid understanding of statistics, probability, and quantitative methods
• Experience with data analysis libraries (pandas, numpy, scikit-learn)
• Knowledge of financial markets and trading concepts
• Strong analytical and problem-solving abilities
• Excellent communication skills and ability to work in a team

Nice to Have

• Experience with machine learning techniques and frameworks
• Familiarity with time series analysis and econometrics
• Knowledge of market microstructure and high-frequency data
• Experience with backtesting frameworks and trading simulators
• Understanding of risk management principles

What We Offer

• Work with experienced quant researchers on real trading strategies
• Access to extensive market data and research infrastructure
• Mentorship and career growth opportunities in quantitative trading
• Collaborative, intellectually stimulating environment

About The Role

As a Mid-Level Quant Strategist, you'll take ownership of trading strategy development and drive research initiatives. You'll lead projects, mentor junior team members, and contribute directly to our trading P&L through systematic strategy research and deployment.

Key Responsibilities

• Lead development of complex quantitative trading strategies across multiple asset classes
• Conduct advanced statistical analysis and research using market data
• Own the end-to-end strategy lifecycle from research to production deployment
• Optimize existing strategies for better risk-adjusted returns
• Mentor junior strategists and contribute to building research capabilities
• Design and implement robust backtesting frameworks and simulation environments
• Monitor live strategy performance and implement real-time adjustments
• Present research findings to senior leadership and drive strategic decisions
• Collaborate with developers to ensure efficient strategy implementation

Required Skills & Qualifications

• Master's or PhD in Mathematics, Statistics, Physics, Computer Science, Engineering, or related quantitative field
• 3-6 years of experience in quantitative research, systematic trading, or related fields
• Strong track record of developing profitable trading strategies
• Expert programming skills in Python and proficiency in C++ or similar languages
• Deep understanding of statistics, machine learning, and optimization techniques
• Solid knowledge of market microstructure, execution dynamics, and trading costs
• Experience with high-frequency data and time series analysis
• Strong understanding of risk management and portfolio construction
• Excellent communication and presentation skills

Nice to Have

• Experience with high-frequency trading or market making strategies
• Knowledge of deep learning and reinforcement learning applications in trading
• Familiarity with alternative data sources and big data technologies
• Track record of published research or academic contributions
• Experience leading a team or mentoring junior researchers

What We Offer

• Ownership over live trading strategies with significant P&L impact
• Access to cutting-edge research infrastructure and data
• Opportunity to work on diverse strategies across asset classes and geographies
• Collaborative environment with top-tier quant researchers and traders
• Clear path to senior roles and strategy leadership