Design and implement a cross asset pricing and risk system. Collaborate with quants and stakeholders, utilizing advanced computational technologies and ensuring best practices.
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and
We are looking for a quantitative developer to work in the quantitative research department on design, development and implementation of a state-of-the-art cross asset pricing and risk system. The core is a high-performance C++ server with lightweight Python and Excel clients. You’ll deliver production-grade pricing, calibration, risk, and scenarios with strong engineering, testing, and release practices.
Responsibilities:
- Design and implement the server-client architecture.
- Improve continuous testing and release pipelines with automated quality gates.
- Design and operate the database + cache layer (schemas, atomic transactions, access control, auditability).
- Design and implement real-time/event-driven and batch job production routines for calibration, pricing, risk and scenario generation on cloud architecture.
- Assistance with advanced computational technologies: multithreading, vectorization, adjoint differentiation, machine learning, profiling and analysis.
- Close collaboration with quants and stakeholders in trading and risk management on getting the job done and liaising with IT on how to do it in accordance with common standards and best practices.
Qualifications:
- Strong modern C++; solid Python and SQL; comfortable with Excel clients.
- Working knowledge of distributed systems design: monoliths/microservices/moduliths, event-driven workflows, service boundaries, versioning, data ownership, authentication.
- Communication patterns: designing gRPC and REST APIs; pub/sub or messaging brokers (e.g. Redis/Memcached/RabbitMQ etc.). Simple understanding of TCP/UDP, HTTP, Websockets, networking.
- Deployment & runtime: containers (Docker), Kubernetes (basic manifests, Helm), basic understanding of AWS resources (S3, RDS, Elasticache, EC2).
- Reliability & ops: observability (metrics/traces/logs), performance profiling, backpressure/retries, and CI/CD basics.
- Comfortable on Windows & Linux; Git and code review.
- Hands-on and collaborative attitude.
- (nice to have) Market-data feeds (e.g., SpiderRock, BPIPE, Refinitiv) and derivatives pricing knowledge.
- (nice to have) Experience with web-frontends; Javascript/Typescript + JSX, React (or equivalent frameworks).
Top Skills
C++
Excel
Git
Python
SQL
Vs Code
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