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

• Technical Leadership & Architecture
  • Design and maintain the trading system architecture, including components for data ingestion, signal generation, backtesting, execution, and risk management
  • Make decisions on technology stack, performance optimization, and scalability
  • Ensure the system supports reasonable latency, high-throughput, and fault-tolerant processing
• Team & Collaboration
• Work closely with the Senior Portfolio Manager and fundamental analysts to understand strategy requirements and translate them into code
• Strategy Implementation Support
  • Build and maintain research infrastructure (e.g., backtesting frameworks, simulation environments, feature stores)
  • Translate researchers' prototypes (e.g., in Python) into production grade code.

• Execution & Infrastructure
  • Optimize and support order execution systems
  • Implement real-time risk checks, monitoring, logging, and alerting tools
• Data Engineering & Management
  • Oversee the pipeline for ingesting, cleaning, and storing data (market, alternative, internal)
  • Ensure data integrity and access for trading and research
• DevOps & Reliability
  • Often take responsibility for deployment pipelines, version control, and production support
  • Ensure high system availability and rapid recovery in case of failures
• Security & Compliance
  • Make sure that the pod's infrastructure adheres to firm-wide compliance and security standards
  • Ensure rigorous version control, code quality, and documentation standards
  • Conduct thorough testing and debugging of software components, resolving any issues or discrepancies
• AI/Machine Learning capability
  • Incorporate AI/ Machine Learning technologies into the team's research and investment process wherever possible

Required Technical Skills

• 1st class Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field
• Proficiency in Python, especially for scripting, research integration, and data tools
• Solid understanding of algorithms, data structures, and multithreaded/concurrent programming
• Strong knowledge of SQL and modern database design (e.g., column stores, time-series DBs)
• Familiarity with software engineering best practices: version control (Git), unit testing, CI/CD, logging, monitoring, etc.
• Strong troubleshooting skills across distributed systems

Required Experience

• 3+ years of hands-on experience designing, building, and maintaining high-performance trading systems, ideally in a systematic equities or quant trading environment
• Proven experience in:
  • Handling large-scale market data (e.g., normalization, feed handling, replay systems)
  • Building event-driven architectures
  • Identifying and resolving performance bottlenecks, data inconsistencies, or system instability in production environments

Highly Valued Relevant Attributes

• Excellent communication skills - able to interface directly with quant researchers, fundamental analysts and traders, translate requirements, and explain technical decisions
• Demonstrated initiative and ownership: able to drive projects independently, while collaborating effectively in a team setting
• Comfortable in fast-paced, iterative environments where priorities can shift quickly based on market conditions or research insights
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work
• Prior knowledge of Japanese market is a plus.