3 - 8 years
20 - 25 Lacs
Posted:1 week ago|
Platform:
Work from Office
Full Time
Automate pricing of ETFs, providing fast and accurate prices in response to quote requests from our clients. Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes. Perform systematic and quantitative analysis of franchise flows and market data, driving business decisions and the design of our automation platform. Work closely with sales and trading, support our automated pricing and trading systems. Be involved with all stages of the software development life cycle with a range of technologies, and collaborate closely with engineering teams who support the underlying infrastructure and frameworks. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong analytics stills with experience in quantitative modelling and data analytics. At least 3 years experience. Strong programming skills in an object oriented or functional paradigm, with particular strength in Java, Python and its core concepts. Self-starter who can work with minimum guidance, ability to manage multiple priorities and work in a high-pressure environment. Excellent written and verbal communication skills. Preferred Qualifications Experience implementing data-driven, streaming market making models, working with large scale timeseries and dimensional data. Previous quantitative or technical role working on or with a derivatives market making desk (irrespective of asset class), Knowledge of building automated trading systems and researching signals for use in a live trading environment. Experience with machine learning is a plus. Experience with real-time systems/messaging infrastructures Familiarity with build/deployment/runtime tools eg Gradle, Maven, Git, Spring, Kubernetes
Goldman Sachs
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