Job Duties: Vice President, Sales Strats with Goldman Sachs and Co. LLC in New York, New York. Communicates with clients and internal parties on our algorithmic execution capabilities. Develops and delivers market microstructure analytics for clients. Develops and delivers algorithm execution capabilities for clients and internal users. Supports and enhances Goldman Sachs’ single-dealer platform Marquee and showcases this to clients. Drafts and maintains marketing materials related to the above. Liaises with internal Compliance, Legal, Sales, Trading, Internal Audit on new releases and periodic reviews. Conducts client roadshows and participates in conferences on electronic markets.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Mathematics, Physics, Computer Science, Engineering, or related field and three (3) years of experience in the job offered or in a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Mathematics, Physics, Computer Science, Engineering, or related field and five (5) years of experience in the job offered or in a related role. Prior work experience must include three (3) years (with a Master’s degree) OR five (5) years (with a Bachelor’s degree) with each of the following: using JAVA and Python for programming; understanding of FX electronic markets, algorithmic execution, market microstructure, orderbook dynamics, major FX electronic venues, details of the algorithmic execution offering, futures market dynamics, transaction cost analysis, modelling of market impact, and signaling risk; proficiency with Bloomberg and other multi-dealer platforms (e.g. FXConnect, FXAll, Portware, BidFX, 360T) including testing new algorithmic products that launch there. Knowledge of FIX protocol and ability to parse FIX messaging; explaining complex algo products to clients and providing consultancy services to clients on their live algo executions and pre-trade; solid relationships with the algo client base and familiarity with their needs and expectations; mathematical modelling for key projects, e.g. Markov chains and stochastic calculus for modelling spot, volatility, algo duration, stopping times; and machine learning models for testing alpha strategies for incorporation into algos. Up to 10% of time to travel domestically and internationally to attend client meetings and roadshows.
Salary Range: Annual base salary for this New York, New York - based position is $183,000-$270,000.
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