Clearwater Analytics
Clearwater Analytics

60 Clearwater Analytics Quantitative Developer Jobs Hiring Near You

Job Summary: The Database Engineering Manager will lead Clearwater's database engineering ... Partner with software engineering, SRE, analytics, cloud platform, and security teams to ensure ...

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Clearwater Analytics Jobs Information

What are the key skills and qualifications needed to thrive as a Quantitative Developer, and why are they important?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

How does a Quantitative Developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What are Quantitative Developers?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

Infographic showing various Quantitative Developer job openings at Clearwater Analytics in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.
Software Development Engineer III

Software Development Engineer III

Clearwater Analytics

New York, NY • On-site

$137.77K - $178.25K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

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.
• 4+ 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.
• 4+ 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.
Salary Range
$137,770.00 - $178,250.00
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health/vision/dental insurance, 401(k), PTO, parental leave, and medical leave, STD/LTD insurance benefits. Clearwater Analytics is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.