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 the 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 orientated, organized, demonstrating thoroughness and strong ownership of work
Prior knowledge of Japanese market is a plus.
#J-18808-Ljbffr
or continue with email
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 orientated, organized, demonstrating thoroughness and strong ownership of work
Prior knowledge of Japanese market is a plus.
#J-18808-Ljbffr
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
Similar jobs
Show more
