Software Development Manager - Derivatives

Clearwater Analytics (CWAN); Mumbai; On-site; INR 3,500,000 - 5,000,000; Full time

Job summary

Clearwater Analytics (CWAN) seeks a Software Development Manager to lead the derivatives engineering team. This senior, hands-on role drives architecture, technical direction, and delivery across FX, IR, Credit, Equity, and Commodity derivatives.

You will architect scalable systems for trade capture, lifecycle events, and downstream settlement, collaborating with quants, traders, and risk teams to deliver production-grade software.

Qualifications

• Twelve-plus years of software engineering experience in distributed, data-intensive systems.
• Deep domain knowledge of derivatives lifecycle management and trading workflows.
• Strong backend programming proficiency (Java/Python) and solid system design fundamentals.

Responsibilities

• Design and drive scalable, resilient systems for derivatives trading and lifecycle processing.
• Own architecture decisions for pricing, valuation integration, and market data interfaces.
• Mentor engineers, lead technical roadmaps, and improve engineering rigor across the team.

Skills

Java

Python

System design

Distributed systems

Data modeling

API design

Event-driven architecture

Tools

Kafka

Relational DB

Time-series DB

Job description

We are looking for a Software Development Manager to serve as the overall engineering leader for Derivatives. This is a senior, hands-on technical leadership role — responsible for driving the engineering architecture, technical direction, and delivery of derivatives capabilities across the platform. This role sits at the intersection of software engineering and derivatives domain expertise, covering trade lifecycle management, valuation/pricing, and downstream processing across FX, Interest Rate, Credit, Equity, and Commodity derivatives. You will architect and build systems that are correct, auditable, and performant at scale, working closely with quants, traders, operations, and risk teams.Key ResponsibilitiesDesign and build scalable, resilient systems for derivatives trade capture, lifecycle event processing (resets, fixings, exercises, novations, terminations, amendments), and downstream settlement/confirmation workflows.Own architecture decisions for pricing and valuation services, including integration with pricing libraries/models and market data feeds for FX, IR, Credit, Equity, and Commodity derivatives.Build and maintain data models and event-driven pipelines that support accurate position keeping, P&L, and risk reporting across the trade lifecycle.Partner with quant and risk teams to translate valuation and pricing logic into robust, testable, production-grade code.Drive engineering best practices: system design reviews, code quality, test automation, observability, and performance tuning for high-throughput, low-latency workflows.Collaborate with operations and business stakeholders to understand STP requirements, exception handling, and reconciliation needs across the trade lifecycle.Mentor engineers, contribute to technical roadmap decisions, and raise the bar on engineering rigor across the team.Contribute to hedge accounting workflows where applicable, including effectiveness testing support.QualificationsTechnical12+ years of software engineering experience, with a strong track record of designing and building complex, distributed, data-intensive systems.Deep proficiency in at least one modern backend language (Java, Python, or similar) and strong system design fundamentals (scalability, data modeling, API design, event-driven architecture).Experience with relational and/or time-series databases, messaging systems (Kafka or similar), and building services that operate under strict accuracy and auditability requirements.Comfort working across the full stack of a trading platform: trade capture, lifecycle processing, valuation integration, and reporting/reconciliation.DomainSolid understanding of derivatives lifecycle management across FX, Interest Rate, Credit, Equity, and Commodity products — including trade events such as fixings, resets, exercises, novations, and terminations.Working knowledge of valuation and pricing concepts for these asset classes (e.g., discounting curves, forward/NPV calculations, sensitivities) — you don't need to build pricing models yourself, but you must understand how they plug into the systems you build.Familiarity with middle/back office processes: confirmations, settlements, reconciliation, and regulatory/reporting considerations for derivatives.Nice to HaveUnderstanding of hedge accounting concepts (e.g., fair value/cash flow hedges) and hedge effectiveness testing methodologies.Experience with regulatory reporting frameworks for derivatives (e.g., Dodd-Frank, EMIR, MiFID II).Exposure to cloud infrastructure and modern DevOps practices in a regulated financial environment.