Quantitative developer
We are seeking a highly skilled and entrepreneurial Software Engineer to architect, build, and scale the core trading and research infrastructure for a newly formed quantamental trading pod. You will lead the design and deployment of systems that support semi-systematic strategies operating in Japanese equity market.
This is a hands-on role at the intersection of technology, research, and trading - you'll collaborate directly with quantitative researchers, fundamental analysts and the Senior Portfolio Manager to turn ideas into production-ready strategies.
The pod is led by a Senior Portfolio Manager with 10+ years of experience and a proven track record in alpha generation, strategy development, and risk management at top-tier firms. This is a unique opportunity to own the technology stack from day one, influence strategic direction, and help shape a high-performance team in a collaborative and intellectually rigorous environment.
Principal Responsibilities
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Technical Leadership & Architecture
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Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management
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Make decisions on technology stack, performance optimization, and scalability
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Ensure the system supports reasonable latency, high-throughput, and fault-tolerant processing
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Team & Collaboration
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Work closely with the Senior Portfolio Manager and fundamental analysts to understand strategy requirements and translate them into code
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Strategy Implementation Support
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Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)
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Translate researchers' prototypes (e.g., in Python) into production grade code.
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Execution & Infrastructure
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Optimize and support order execution systems
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Implement real-time risk checks, monitoring, logging, and alerting tools
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Data Engineering & Management
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Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)
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Ensure data integrity and access for trading and research
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DevOps & Reliability
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Often take responsibility for deployment pipelines, version control, and production support
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Ensure high system availability and rapid recovery in case of failures
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Security & Compliance
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Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards
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Ensure rigorous version control, code quality, and documentation standards
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Conduct thorough testing and debugging of software components, resolving any issues or discrepancies
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AI/Machine Learning capability
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Incorporate AI/ Machine Learning technologies into the team's research and investment process wherever possible
Required Technical Skills
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1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field
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Proficiency in Python, especially for scripting, research integration, and data tools
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Solid understanding of algorithms, data structures, and multithreaded/concurrent programming
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Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)
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Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc.
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Strong troubleshooting skills across distributed systems
Required Experience
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3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment
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Proven experience in:
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Handling large-scale market data (e.g., normalization, feed handling, replay systems)
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Building event-driven architectures
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Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments
Highly Valued Relevant Attributes
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Excellent communication skills - able to interface directly with quant researchers, fundamental analysts and traders, translate requirements, and explain technical decisions
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Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting
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Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights
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Detail oriented, organized, demonstrating thoroughness and strong ownership of work
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Prior knowledge of Japanese market is a plus.