Senior Quant Developer

Clearwater Analytics; Mumbai; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Clearwater Analytics is seeking a Senior Quantitative Developer in Mumbai, India. In this role, you will lead the architectural design for pricing and risk models, own complex model delivery across fixed income, commodities, and FX products, and mentor junior developers. Ideal candidates should have 8–12 years of experience in quantitative development, strong Python skills, and a degree in a quantitative discipline. The role is integral to platform reliability and involves substantial client interaction and technical leadership.

Qualifications

• 8–12 years of experience in quantitative development or financial engineering.
• Expert-level Python programming capabilities.
• Deep fixed income pricing knowledge across multiple instrument types.
• Strong knowledge of commodities derivatives markets.
• Experience in owning a quant model or library in production.
• Familiarity with CI/CD pipelines and automated testing frameworks.
• Proven leadership in mentoring and growing technical teams.

Responsibilities

• Lead architectural design for Beacon's Python pricing and risk libraries.
• Own end-to-end delivery of pricing models for complex fixed income instruments.
• Define and enforce standards for pricing model implementation and validation.
• Architect scalable cloud infrastructure supporting quant research.
• Ensure platform reliability through robust EOD processing pipelines.
• Mentor mid-level developers and conduct technical interviews.

Skills

Expert Python

Fixed Income & Exotic Derivatives

Commodities Pricing

SABR / HJM / LMM

AWS (EMR, S3, Glue, Lambda, ECS)

Risk Infrastructure Architecture

EOD Data Pipelines

Data Governance

CI/CD & Observability

C++ (nice to have)

XVA (nice to have)

Education

Degree (B.Tech / M.Tech / MSc / MFE) in a quantitative discipline

Job description

Senior Quantitative Developer

8–12 Years | Beacon by CWAN | India

About The Role

As a Senior Quantitative Developer you will be a technical authority on Beacon's pricing and risk platform – setting the architectural direction for our model libraries, mentoring the team, and driving the delivery of complex quantitative features across fixed income, commodities, equities, and FX. You will own the quality, correctness, and performance of our core pricing engines, lead the design of scalable risk infrastructure, and act as the bridge between engineering, product, and clients.

What You'll Do

• Lead the architectural design of Beacon's Python pricing and risk libraries – establishing patterns for model extensibility, calibration frameworks, and performance optimisation.
• Own end-to-end delivery of pricing models for complex fixed income instruments (exotics, structured credit, callable/putable bonds, swaptions, CMS) and commodity derivatives (Asian options, spread options, energy forwards), FX and Index products.
• Define and enforce standards for pricing model implementation, testing (unit, integration, regression), validation workflows.
• Serve as the primary technical reviewer for model implementations, architectural proposals, and code standards across the quant engineering team.
• Architect and manage scalable cloud infrastructure (AWS EMR, S3, Glue, Lambda, ECS) supporting quant research and front‑office production at scale.
• Ensure platform reliability through robust EOD processing pipelines, automated regression testing, and observability tooling.
• Design flexible infrastructure to support client‑specific configurations without compromising performance or maintainability.
• Implement market data pipelines to source data from various market data vendors.
• Act as a senior technical voice in client discussions, implementation scoping, and pre‑sales engagements where deep pricing expertise is required.
• Mentor mid‑level developers; conduct technical interviews and contribute to hiring decisions.

What You Bring

• 8–12 years of experience in quantitative development or financial engineering, with a strong production track record in pricing and risk systems.
• Expert‑level Python – ability to design libraries from scratch, optimise hot paths (numpy vectorisation, Cython, multiprocessing), and set team‑wide coding standards.
• Deep fixed income pricing knowledge across multiple instrument types: rates derivatives (vanilla and exotic), credit products, structured products – including model calibration and Greeks.
• Strong commodities derivatives knowledge – energy, metals, or agricultural markets; seasonality models, multi‑factor commodity models.
• Proven experience owning a quant model or library end‑to‑end in a production fintech or financial services environment.
• Experience with CI/CD pipelines, automated testing frameworks, and production observability tooling.
• Proven ability to lead and grow technical teams – mentoring junior/mid developers and contributing to hiring.
• Degree (B.Tech / M.Tech / MSc / MFE) in a quantitative discipline – mathematics, physics, engineering, computer science, or financial engineering.

Nice to Have

• Experience with stochastic volatility models (SABR, Heston, LMM) and their numerical implementation, Monte‑Carlo Simulation.
• C++ expertise – writing or maintaining shared pricing libraries consumed by Python wrappers (pybind11, ctypes).
• Familiarity with XVA (CVA, DVA, FVA) frameworks and their computational demands.
• Experience with real‑time risk (intraday VaR, P&L attribution) pipelines at scale.
• Experience with distributed job orchestration (Airflow, Prefect) and large‑scale EOD risk workflows.
• Familiarity with real‑time data ingestion frameworks (Kafka, Kinesis).
• Experience with distributed computing frameworks (PySpark, Spark) for large‑scale data processing.

What Will Make You Stand Out

• Track record of delivering and operating robust quant systems at scale in a front‑office or risk platform environment.
• Experience designing systems for automated recovery, failover, and monitoring of analytics jobs.
• Prior experience integrating complex model libraries into production platforms while maintaining reliability and transparency.
• Demonstrated ability to act as a technical bridge between quant research, engineering, and client‑facing teams.

Skills At a Glance

Expert Python

• Fixed Income & Exotic Derivatives
• Commodities Pricing
• SABR / HJM / LMM
• AWS (EMR, S3, Glue, Lambda, ECS)
• Risk Infrastructure Architecture
• EOD Data Pipelines
• Data Governance
• CI/CD & Observability
• C++ (nice to have)
• XVA (nice to have)
• Team work, Leadership & Mentoring