Jobs at Clearwater Analytics (CWAN)

Maintain and transform investment data into actionable insights by building data systems and pipelines, performing complex analysis, visualizing results, improving data quality, and collaborating with clients and product teams.

Senior HR Business Partner for R&D APAC partnering with regional engineering leaders to drive talent management, workforce planning, employee engagement, performance calibration, organisational design, change management, and HR programme delivery across India, Singapore, Australia, Hong Kong, and Japan.

Lead middle and back-office fund services operations: daily trade/position/cash reconciliations, break resolution, cash and collateral management, settlement, corporate actions, trial balance and shadow accounting. Drive client onboarding, SLA/KPI tracking, process improvement and automation, capacity forecasting, and escalation of high-exposure items. Work within a 24-hour delivery cycle including EMEA shifts.

The Senior Quant Developer will architect and lead priced and risk libraries, ensuring performance and quality across various financial instruments while mentoring junior team members.

The Lead Client Servicing Associate provides day-to-day support for OEMS solutions, assists clients with system issues, conducts training, fosters client relationships, and ensures satisfaction with technology solutions.

The role involves acting as a liaison between clients and internal teams, translating business requirements into system applications, mentoring team members, and continuously improving processes.

Lead and scale outsourced middle/back-office fund services, overseeing daily reconciliations, trade affirmation, clearing/settlement, cash/collateral management, fund accounting, trial balance and shadow reconciliations, client onboarding, KPI tracking, process improvements, and escalation/resolution of high-exposure items across APAC shifts.

The role involves monitoring enterprise applications, managing monitoring tools, troubleshooting IT infrastructure issues, and producing documentation and reports.

The Quantitative Developer is responsible for architecting risk infrastructure, ensuring system reliability, and collaborating with teams to meet design and business requirements.

The role involves developing scalable risk infrastructure for front-office analytics, ensuring reliability, and collaborating with engineering teams. Requires experience in quantitative development and familiarity with Python.

Build Python automation and internal tools to provision, monitor, and support many client deployments across AWS and Azure. Standardize environments, remediate drift, improve observability with monitoring/alerts/dashboards, convert runbooks into automated tooling, extend Terraform-based provisioning pipelines, and collaborate with onboarding and support teams to reduce operational toil.

Build automation and internal tools in Python to provision, monitor, and support a growing fleet of client deployments across AWS and Azure. Standardize environments, improve observability, convert runbooks into automated remediation and self-service tools, and extend provisioning pipelines (Terraform) to speed onboarding. Partner with onboarding, support, and client success teams to eliminate operational toil.

Build automation and internal tooling (primarily Python) to provision, monitor, and support a fleet of client deployments across AWS and Azure. Standardize environments, detect and remediate drift, improve observability with monitoring/alerts/dashboards, convert runbooks into automated remediation and self-service tools, extend Terraform-based provisioning pipelines, and collaborate with onboarding and support teams to reduce operational toil.

Build and maintain automation and internal tools (primarily Python) to provision, monitor, and support a fleet of client deployments on AWS/Azure. Improve observability, remediate drift, extend Terraform-based provisioning pipelines, convert runbooks into automated remediation, and collaborate with onboarding and support teams to reduce operational toil.

The SDET will design and maintain automated test frameworks, validate distributed systems, and implement QA best practices for scalability and compliance.

The SDET will design and maintain automated test frameworks, validate systems, and enforce QA best practices in a fast-paced FinTech environment.

The Client Servicing Team Lead in Trade Compliance oversees compliance operations, manages client requirements, and leads the compliance team while ensuring high-quality execution and client satisfaction.

Build and maintain a large-scale TypeScript monorepo powering a desktop web app and React Native companion. Implement high-performance, real-time UIs (virtualised grids, WebSocket state, IndexedDB), design shared packages, write thorough tests (unit, integration, E2E), profile and optimise performance, and collaborate with product, design, and backend teams to ship production features.

Manage middle/back-office fund services: perform trade affirmations, daily reconciliations of trades, positions, P&L and cash; book corporate actions, option exercises, accruals; reconcile equity swaps and ISDA positions; month-end stock borrow and swap financing P&L; shadow fund accounting NAV trial balance reconciliations; and resolve breaks with third parties.

Design and implement scalable cloud infrastructure on AWS, enforce architecture standards, optimize environments for performance, and manage EKS clusters while collaborating with diverse teams.