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Quantitative Brokers LLC in New York is seeking an Algorithmic Execution Desk Analyst to join our fast-growing fintech team. The role focuses on real-time issue resolution, market condition interpretation, and close collaboration with tech, trading, and clients.
You will be a multifaceted professional who can switch from partnering with engineers to testing algo enhancements, and who can explain differences between our algos to a client or reconcile trades with an FCM, at short notice.
The Company
QB is a rapidly expanding fin-tech firm specializing in agency algorithms in futures, options on futures, FX, and fixed income markets. QB’s culture is founded on excellence and innovation, based on rigorous quantitative research and solid implementation.
Our mission is to build best in class trading algorithms and workflow solutions through cutting edge research and technology to minimize execution costs and to provide excellent services to our clients.
Our team is highly motivated and passionate, constantly hunting for inspired solutions to reduce implicit trading costs and manage execution risk for our clients. We value creative thinkers who can implement their ideas into productive solutions.
The Opportunity
At QB the Execution Desk is revered as a “white glove” support team that is able to resolve real-time issues in an urgent fashion, understand and relay market conditions on the fly, and have a deep understanding of our algorithmic suite. Desk members need to be a multifaceted individual who can switch from partnering with tech to test a new algo enhancement, discussing the differences between each of our offered algos to a client, to working with an FCM to reconcile a client’s trade; all at a drop of a dime.
If the above excites you, then you may be perfect for our global team! This position is ideal for candidates looking to expand market and technical knowledge through electronic and algorithmic trading system support. We have a strong desk presence in NY, London, and Sydney and we are looking to build on this.
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