Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python.
Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations.
Build robust market data ingestion and normalization pipelines for high-volume tick data.
Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks.
Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants.

Key requirements

Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python.
Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations.
Build robust market data ingestion and normalization pipelines for high-volume tick data.
Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks.
Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants.

Jobs at Bright Vision Technologies

70 active roles from this employer in the JobMatcher catalog.

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Jobs at Bright Vision Technologies

70 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Bright Vision Technologies is seeking a Financial Software Engineer for a 100% remote role in the United States. The successful candidate will design and implement low-latency trading, pricing, and risk systems, and translate quantitative models into production-ready software that meets strict performance and reliability requirements. Location: Remote (U.S.). Based in Tempe, Arizona, or remote nationwide.

Responsibilities

Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python.
Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations.
Build robust market data ingestion and normalization pipelines for high-volume tick data.
Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks.
Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants.
Profile and optimize critical-path code for latency and throughput, delivering measurable gains.
Build comprehensive backtesting and simulation infrastructure with reproducible results.
Collaborate with quants, traders, and risk officers to refine models and tooling.
Implement regulatory and compliance reporting workflows, ensuring auditable outputs.
Ensure full observability with logging, metrics, and audit trails.
Lead incident response for trading-critical issues with calm and rigor.
Maintain documentation (architecture, design decisions, runbooks) to keep systems suppor

About the role

Bright Vision Technologies is seeking a Financial Software Engineer for a 100% remote role in the United States. The successful candidate will design and implement low-latency trading, pricing, and risk systems, and translate quantitative models into production-ready software that meets strict performance and reliability requirements. Location: Remote (U.S.). Based in Tempe, Arizona, or remote nationwide.

Responsibilities

Design and implement low-latency trading, pricing, and risk systems in C++, Java, or Python.
Translate quantitative models from prototypes (often in Python or MATLAB) into production-quality implementations.
Build robust market data ingestion and normalization pipelines for high-volume tick data.
Develop pricing libraries for derivatives and structured products, with rigorous testing against analytical benchmarks.
Implement risk engines, P&L attribution systems, scenario analysis tools, and stress-testing capabilities used by traders, risk managers, and quants.
Profile and optimize critical-path code for latency and throughput, delivering measurable gains.
Build comprehensive backtesting and simulation infrastructure with reproducible results.
Collaborate with quants, traders, and risk officers to refine models and tooling.
Implement regulatory and compliance reporting workflows, ensuring auditable outputs.
Ensure full observability with logging, metrics, and audit trails.
Lead incident response for trading-critical issues with calm and rigor.
Maintain documentation (architecture, design decisions, runbooks) to keep systems suppor

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Based on: Financial Software Engineer