saccadecapital

We are seeking a Data Engineer on a full-time basis in Korea or Dubai. This position is responsible for building and operating the data infrastructure that underpins our trading and research systems. You will own data pipelines end-to-end — from raw ingestion through transformation, quality assurance, and delivery to downstream consumers. This is a hands-on engineering role, not a management position.

Role attributes:

• Design, build, and maintain high-throughput data pipelines processing petabyte-scale market data, execution logs, alternative data, and reference data

• Operate and evolve our analytical data platform — columnar stores, workflow orchestration, and custom tooling

• Ingest and normalize data from exchanges, vendors, and internal systems into consistent, queryable formats

• Implement data quality checks, lineage tracking, and monitoring to guarantee correctness and freshness

• Optimize storage layouts, query performance, and pipeline latency for both batch and near-real-time workloads

• Build and maintain data infrastructure supporting AI/ML workflows — training data preparation, feature pipelines, and model serving

• Collaborate directly with quantitative researchers, risk managers, and infrastructure teams to translate data requirements into reliable code and infrastructure

• Own the full lifecycle: capacity planning, schema evolution, incident response, and documentation

Requirements:

• Degree in Computer Science, Engineering, Mathematics, or Physics from a top-tier university

• 5+ years of hands-on data engineering in a production environment handling terabyte-to-petabyte scale data

• Strong proficiency in Python — production-grade code, not just glue scripts

• Strong proficiency in at least one statically typed language (C++ preferred)

• Strong SQL skills and experience operating columnar/OLAP databases at scale

• Linux proficiency — comfortable profiling performance, managing processes, and debugging production systems

• Experience with workflow orchestration and building data pipelines supporting AI/ML workloads

• Solid understanding of distributed systems - partitioning, replication, consistency trade-offs, failure modes

• Active use of AI-assisted development tools as part of daily engineering workflow

We are seeking an IT Systems Engineer on a full-time basis to join our team in Seoul, Korea. This role has an extensive reach and must have a self-motivated individual with excellent critical thinking and risk based approach over technology and operational/market risk matters. The role enjoys a great level of intellectual freedom however always accountable for the task at hand, aiming to reach the Company’s wide objectives. Our office and development environments are designed to help our people grow and learn from some of the best people in this business.

Role attributes:

• Design, implement, optimize and support office, network and server infrastructure;

• Maintain, update and create monitoring tools and dashboards;

• Ensure infrastructure meets internal demands of performance, resilience and stability;

• (physical) Installation, setup and update of desks, screens, desktops, servers and network components at the company’s offices.

• (physical) Installation, setup and update of servers and network components at the company’s Data Centers.

• Maintenance and creation of technical documentation related to every day operations, system configurations and system upgrades;

• Ensure internal policies and best practices are implemented throughout the infrastructure;

• Collaborate with IT teams in the region to create standards, policies and work methods;

• Collaborate with IT staff and end-users to resolve issues and improve environment;

• Liaise with vendors and external parties to meet company targets and requirements

  Requirements:

• Qualifications in Computer Science, IT engineering or Technology with strong academic results;

• Strong knowledge in Data Centre management and monitoring;

• Strong project management and execution skills;

• Strong knowledge in network troubleshooting and optimization, preferably in low latency environments;

• Strong knowledge in multicast environments;

• Strong knowledge of Windows and Linux admin and troubleshooting techniques, including on RedHat/Centos/Ubuntu;

• Strong working knowledge of Active Directory, VMWare, DNS;

• Strong knowledge in hardware network devices: Cisco OS (ASA, IOS), Arista (EOS) and security;

• Experience in automation and scripting (shell scripting, PowerShell, Ansible);

• Professional working proficiency English and Korean

We are seeking Exchange Connectivity Developers on a full-time basis in Korea and Dubai. The role requires extensive reach and a self-motivated individual with excellent critical thinking and a risk-based approach to operational and market risks. 

Role attributes:

• Review/upgrade/develop existing connectivity solutions;

• Develop, test and deploy Exchange connectivity and core strategy codes;

• As a member of the Trading Platform Division you will be also involved in main projects which touch FPGA applications, Simulators, Big Data handling and other important tasks.

Requirements:

• Modern C++ ;

• STL/Boost libraries;

• Linux systems tuning;

• Experience with financial protocols such as FIX/OMD/OCG;

• Solid understanding of concurrency & network programming;

• Unit testing/automated systems testing;

• Optimization for modern Intel architecture;

• Previous experience in developing exchange connectivity;

• Low latency design experience;

• HFT systems direct experience;

• Performance tuning and analysis;

• Knowledge of cash and derivative exchange platforms;

• Network acceleration (Chelsio, WireDirect, Mellanox VMA) is a plus;

• Numerical computation libraries in C++/Java is a plus;

• Previous experience in Market Making Systems employing HFT strategies is a plus.

We are looking for an exceptional Quantitative Trader – or an established team – with a demonstrable, attributable P&L track record in equities and equity derivatives in high-frequency or medium-term investment horizons. The ideal candidate should possess a demonstrable history of successful strategy formulation, the acute discernment requisite for identifying and acquiring necessary data, and the engineering proficiency to develop the simulation and research instruments vital for scaling those strategies. This position offers significant impact and substantial autonomy: the successful applicant will assume responsibility for the entire research-to-production lifecycle, collaborating closely with Saccade’s established technology, data, and trading infrastructure teams.

Role attributes:

• Own end-to-end systematic trading strategies in equities and equity derivatives – alpha generation, portfolio construction, execution, risk monitoring, and iteration – with direct accountability for live P&L

• Identify, procure, and integrate the data the strategy needs

• Design and build the simulation/backtesting infrastructure required to evaluate strategies under realistic microstructure, transaction cost, and capacity assumptions

• Develop predictive signals and models using necessary techniques the strategy demands – statistical, machine learning, deep learning – across high-frequency and medium-term horizons

• Collaborate closely with Software Engineers to productionize research onto Saccade’s low-latency trading platform;

• For team applicants: lead and mentor the team within Saccade’s structure, integrate with shared platform components, and contribute to cross-team research culture.

Requirements:

• A demonstrable, attributable record of profitable systematic trading in equities and/or equity derivatives at high-frequency or medium-term horizons – for individuals or for the team as a whole.

• Proven ability to source, assess, and seamlessly integrate necessary data for both quantitative research and production trading strategies.

• Demonstrated ability to build tools to support the strategy: simulation/backtesting frameworks, research environments and production performance attribution.

• Proficiency in programming languages relevant to the strategy is essential, coupled with a strong background in Linux. Candidates must also be comfortable managing and processing extremely large datasets.

• Strong statistics, machine learning, and signal construction skills, with a bias toward rigorous out-of-sample validation

• Ability to communicate effectively, engaging in productive and constructive debate regarding your own and colleagues' ideas.

• Self-motivated, with excellent critical thinking and a risk-based approach to technology, operational, and market risk matters.

This programme is for people who want to build their careers in quantitative research and trading from the ground up. Opportunities are available in Korea and Dubai. We do not require any prior finance experience, internships at trading firms, or a production track record – we care about how you think, how fast you learn, and how seriously you take the work. From day one our graduates work alongside experienced researchers, traders, and engineers on real problems with real impact on the firm’s bottom line. Our office and development environments are designed to help young minds grow and learn from some of the best people in this business.

Role attributes:

• Conduct quantitative research on equities and equity derivatives across high-frequency and medium-term horizons

• Identify, procure, and integrate the data needed for the research at hand

• Build simulation and backtesting tools, signal libraries, and research infrastructure alongside experienced researchers and engineers

• Develop predictive signals and models – statistical, machine learning, deep learning – appropriate to the problem

• Contribute to live trading systems with direct visibility on P&L impact

Requirements:

• Passion for markets, data, and technology

• Proficiency in at least one high-performance programming language

• Excellent numerical skills, statistics fundamentals, and critical thinking

• Strong academic record in a quantitative discipline (mathematics, physics, statistics, computer science, engineering, or related)

• Self-motivated, with the ability to debate own and peers’ ideas in a productive and healthy way

• Hands-on data analysis experience 

• Curiosity about market microstructure, electronic trading, or systematic strategies