Quantitative developer

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

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.