Clearwater Analytics’ mission is to become the world’s most trusted and comprehensive technology platform for investment reporting, accounting, and analytics. With our team, you will partner with the most sophisticated and innovative institutional investors around the world. If you are infectiously passionate about what you do, intensely committed to clients, and driven by continuous innovation and improvement... We want you to apply!
We are looking for Java and Python developers to design and build scalable, cloud-native platforms for OTC and listed derivatives. You will work on trade capture, valuation, lifecycle events, risk, and post-trade processing across Interest Rate Derivatives (IRD), Credit Derivatives (CRD), FX Derivatives (FXD), and related asset classes. You will work closely with product, quants, and operations to turn complex financial workflows into reliable, well-designed software.
Key Responsibilities
• Design, develop, and maintain high-performance services for derivative trade lifecycle management, valuation, pricing, risk, collateral, and reporting.
• Own the technical design of new modules and features, including architecture, data models, APIs, and integration patterns.
• Build cloud-native microservices and data pipelines using containers and managed services.
• Model and process derivative products (swaps, swaptions, caps/floors, CDS, FX forwards/options/NDFs) and their lifecycle events (resets, fixings, amendments, novations, terminations, compressions).
• Write clean, testable, well-documented code, and take part in code and design reviews.
• Improve the performance, resilience, and observability of production systems, and help resolve complex production issues.
• Mentor junior engineers and help raise engineering standards (senior profiles).
Required Qualifications
• 6–12 years of software development experience, with at least 2 years in derivative asset classes (IRD, CRD, FXD, or equivalent).
• Strong hands-on skills in Java (8/11/17+) and/or Python 3.x. Working knowledge of both is a plus.
• Hands-on cloud development experience on AWS including containers (Docker, Kubernetes), CI/CD, and infrastructure-as-code.
• Excellent design skills: OOP, SOLID, design patterns, domain-driven design, microservices, event-driven architecture, and REST/gRPC API design.
• Working knowledge of derivative concepts: pricing and valuation basics,curves, trade lifecycle, and clearing/margining.
• Proficiency with relational and NoSQL databases (PostgreSQL, Oracle, MongoDB, etc.) and messaging systems (Kafka, RabbitMQ, or similar).
• Strong unit, integration, and automated testing practices.
• Strong problem-solving and communication skills, and the ability to work with business stakeholders.
Preferred Qualifications
• Experience with frameworks such as Spring Boot and FastAPI.
• Experience with distributed computing and low-latency design
• Exposure to observability tooling (Prometheus, Grafana, ELK, Datadog) and Agile/DevOps practices.
• Degree in Computer Science, Engineering, Mathematics, Finance, or a related field. Certifications such as CFA, FRM are a plus.
Skills Required
- 6-12 years of software development experience
- At least 2 years of experience with derivative asset classes such as IRD, CRD, or FXD
- Strong hands-on skills in Java 8/11/17+ and/or Python 3.x
- Hands-on AWS cloud development experience, including Docker, Kubernetes, CI/CD, and infrastructure as code
- Knowledge of OOP, SOLID, design patterns, domain-driven design, microservices, event-driven architecture, and REST/gRPC API design
- Working knowledge of derivative pricing, valuation, curves, trade lifecycle, and clearing/margining
- Proficiency with relational and NoSQL databases and messaging systems
- Strong unit, integration, and automated testing practices
- Strong problem-solving and communication skills, with ability to work with business stakeholders
- Experience with Spring Boot and FastAPI
- Experience with distributed computing and low-latency design
- Exposure to Prometheus, Grafana, ELK, Datadog, and Agile/DevOps practices
- Degree in Computer Science, Engineering, Mathematics, Finance, or a related field
- CFA or FRM certification
What the Team is Saying
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Clearwater Analytics (CWAN) Compensation & Benefits Highlights
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Retirement Support — A 401(k) plan with employer matching is highlighted consistently in company materials and benefits summaries. Feedback suggests the match makes retirement savings a clear strength of the package.
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Flexible Benefits — Hybrid schedules, flexible hours, and short work-from-anywhere allowances are advertised for some roles. Feedback suggests this flexibility adds practical value even when positions are not fully remote.
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Equity Value & Accessibility — Restricted stock units and an employee stock purchase plan are listed as part of total rewards for eligible roles. Feedback suggests these equity programs can enhance overall compensation when included in an offer.
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.
