Job Summary
The Software Development Engineer – Risk (TRMS) is responsible for designing, developing, testing, and supporting software solutions for Trading & Risk Management Systems. This role focuses on risk analytics and reporting capabilities, including support for calculations such as Greeks, VaR, PFE, and XVA. The engineer will work closely with product managers, quantitative analysts, and engineering peers to deliver scalable, reliable, and high-performing solutions that support front-office and risk management functions. The role also requires familiarity with emerging Agentic AI capabilities and how intelligent automation can be applied to software engineering, data workflows, and risk technology use cases.
Responsibilities
· Design, develop, test, deploy, and maintain software applications supporting Trading & Risk Management Systems.
· Build and enhance risk analytics and reporting solutions, including support for Greeks, VaR, PFE, and XVA calculations.
· Partner with product managers, quantitative analysts, and engineering teams to translate business and technical requirements into scalable software solutions.
· Develop and maintain backend services, APIs, and microservices that integrate with internal and external systems.
· Integrate and support market data feeds and services from external vendors such as Bloomberg, Refinitiv, Markit, and similar providers.
· Apply AI-assisted development practices and support intelligent automation opportunities within engineering and risk workflows where appropriate.
· Contribute to the design or integration of Agentic AI solutions, such as workflow agents, reasoning assistants, or automation services, in support of engineering productivity and operational efficiency.
· Troubleshoot production issues, perform root cause analysis, and implement sustainable fixes.
· Contribute to code reviews, testing, automation, and CI/CD processes to ensure high-quality software delivery.
· Maintain technical documentation and support ongoing platform improvements and modernization efforts.
Required Skills
· Hands-on Python development experience is required.
· Strong software development experience in Python or another object-oriented programming language.
· 7+ years of professional software development experience in the financial services industry.
· Experience working with Trading & Risk Management Systems and risk analytics/reporting platforms.
· Required background in dealing with and integrating market data vendors such as Bloomberg, Refinitiv, Markit, or similar providers.
· Experience developing backend applications, APIs, and microservices.
· Understanding of Agentic AI concepts, including autonomous workflows, orchestration frameworks, prompt-driven task execution, and AI-assisted software development tools.
· Experience or familiarity with integrating LLM-based capabilities, AI agents, or intelligent automation into enterprise applications is preferred.
· Proficiency with source control tools such as Git.
· Experience with testing frameworks, automation, and CI/CD pipelines.
· Strong analytical, problem-solving, and communication skills.
· Ability to work effectively in a collaborative, cross-functional environment.
Education and Experience
· Bachelor’s degree in computer science, Engineering, Mathematics, Finance, or a related technical field, or equivalent practical experience.
· 7+ years of software development experience within the financial services industry.
· Demonstrated experience integrating with market data vendors such as Bloomberg, Refinitiv, Markit, or comparable platforms.
· Experience supporting trading, pricing, or risk management workflows is strongly preferred.
· Exposure to AI/ML, intelligent automation, or Agentic AI frameworks in enterprise environments is a plus.
Skills Required
- Hands-on Python development experience
- 7+ years of professional software development experience in the financial services industry
- Experience working with Trading & Risk Management Systems
- Proficiency with source control tools such as Git
- Experience developing backend applications, APIs, and microservices
- Bachelor's degree in computer science, Engineering, Mathematics, Finance, or a related technical field
Clearwater Analytics (CWAN) Compensation & Benefits Highlights
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Retirement Support — A company 401(k) match with immediate vesting is consistently included alongside tax‑advantaged accounts. This indicates reliable long‑term savings support as part of the package.
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Equity Value & Accessibility — Equity participation is available through an employee stock purchase plan, with RSUs included for some roles. This adds ownership potential beyond base pay and bonus.
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Leave & Time Off Breadth — Paid time off is available from day one with a baseline around three weeks, plus company holidays and volunteer time. Flexible elements like work‑from‑home Fridays and limited “work from anywhere” periods broaden practical time‑off utility.
Clearwater Analytics (CWAN) Insights
What We Do
CWAN was founded on a simple belief: investment professionals deserve modern technology that actually works for them. Not legacy systems that slow them down. Not fragmented data that creates confusion. But one comprehensive platform that gives you complete visibility and crystal-clear insights. The result? Investment management that works as seamlessly as your investment strategy. Since our founding in 2004, CWAN has been the trusted technology partner powering the world’s leading institutional investors — from insurance companies, asset managers, and hedge funds to asset owners like corporations, endowments, and pension funds managing over $10 trillion in assets.
Why Work With Us
We continue to grow, fueled by a strong foundation, an ambitious vision, and a commitment to delivering exceptional value to our clients, partners, and team members around the world. What started as a bold idea in Boise, Idaho has rapidly transformed into a global presence. We’ve expanded our footprint significantly—now operating out of 24 offices
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Clearwater Analytics (CWAN) Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.


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