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MORE ABOUT THIS JOB The Inventa team works closely with trading to develop quantitative medium-frequency signals and trading strategies for risk management, by processing a wide range of data sets and applying cutting-edge modelling techniques. Python is our primary language and we draw heavily on its ecosystem of services and libraries such as pandas, sklearn, scipy, numpy, jupyter, streamlit, matplotlib, bokeh, dask, flask, testplan and pymongo. We make use of the best technology for each problem and we are always keen to move forward, upgrade/update our tech stack and explore new solutions available.
Why Join Inventa? In this role, your impact will be to design and build services, libraries and tools for both signal research and execution. This will include building resilient data processing pipelines (both streaming and batch), a distributed backtesting/simulation framework, tools for portfolio analytics and integrations with firm systems. Key challenge will be to develop solutions that are both reliable and scalable and make it possible to explore new ideas and seize commercial opportunities quickly. While your focus will be tech enhancement and innovation, you will be working along with the business within a close-knit global team and get exposure to signal development front-to-back, including financial markets, modelling and research.
RESPONSIBILITIES AND QUALIFICATIONS Responsibilities
Lead a local team to collaborate efficiently with a global team that iterates fast
Work very close to the business to design and build key components of our tech ecosystem for both signal research and execution
Develop an understanding of financial markets and the particular signals the team is building
Think commercially, prioritize tasks and identify solutions that maximize return on investment
Work in a fast-paced environment as a self-starter
A Bachelor's degree (Masters/PhD a plus but not mandatory) in a computational field (Computer Science, Software Engineering, Applied Mathematics, or in a related quantitative discipline)
Experience designing scalable and reliable systems, with a focus on APIs / modularity / testability.
Excellent programming skills in Python
Experience working with NoSQL databases (e.g. MongoDB)
Excellent communication skills; ability to mentor others
Experience using libraries from Python's data science ecosystem (e.g. pandas, sklearn, matplotlib, bokeh, flask, streamlit)
Experience with stream-processing systems (e.g. Kafka).
Experience in distributed programming/concurrency.
ABOUT GOLDMAN SACHS ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .
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