Software Development Engineer - Risk Platform Infrastructure
Beacon Platform by CWAN builds a cloud-based development environment that enables quants, data scientists, and commercial developers to rapidly build and deploy the functionality their businesses need at the largest scales. Additionally, we build and externalize trading and risk management applications for all sides of the financial services industry.
We are looking for a Software Development Engineer – Alternatives Risk to design and build highly reliable, scalable risk platform infrastructure that supports front‑office decision‑making across asset classes including equities, fixed income, FX, commodities, and alternative investments. This role is ideal for engineers with strong Python and Java skills who are passionate about building robust systems that deliver accurate pricing, risk, and analytics under production constraints.
What You’ll Do
Architect, design, and deliver Python‑ and Java‑based systems that power front‑office risk and analytics for alternative investment products.
Build scalable frameworks for valuation, risk, scenario analysis, and lifecycle modeling across multiple asset classes.
Ensure platform reliability through robust EOD processing pipelines, model calibration workflows, and automated regression testing.
Implement standards for versioning, model governance, and platform health monitoring to ensure system integrity over time.
Design flexible infrastructure to support client-specific configurations without compromising performance or maintainability.
Collaborate with engineering and product teams to align platform design with business and technical requirements.
Minimum 4+ years of experience as a Software Development Engineer using Python and Java.
Strong experience as a Software Development Engineer with hands‑on expertise in Python and Java.
Strong engineering mindset with a focus on system reliability, maintainability, and performance.
Solid understanding of software engineering best practices including CI/CD, automated testing, code quality, and observability.
Exposure to financial markets, risk systems, or alternative investment platforms.
Proven ability to lead and grow technical teams.
Strong understanding of trade lifecycle modeling, model calibration, and data orchestration in a risk platform context.
Proven track record of delivering large‑scale Python/Java platforms supporting risk or analytics in production.
Experience designing systems for automated recovery, failover, and monitoring of analytics jobs.
Familiarity with distributed computing, EOD risk workflows, and large-scale job orchestration (e.g., Airflow, Prefect).
Prior experience integrating complex model libraries into production platforms while maintaining reliability and transparency.
