Senior Data Scientist, Analytics & Advertising

Greenwich, CT

Posted: 06/27/2018 Employment Type: Direct Hire Job Number: 48
Client Description
Our client is a direct access electronic broker catering to the needs of professional and frequent traders, institutional investors, financial advisors, and introducing brokers. Their clients have access to more than 120 market centers in 26 countries from a single account. We are the lowest cost provider of brokerage services and the largest U.S. electronic broker based on daily average revenue trades executing over 800, 000 trades per day.[1]   Their employees are part of a dynamic, multinational, fast-paced, results-oriented team working to provide our customers with state-of-the-art trading technology,  superior execution capabilities, worldwide electronic access, and sophisticated risk management tools.

Job Synthesis and Key Responsibilities
Our client seeks a skilled Senior Data Scientist with the following qualities:
  • Experience working for Facebook, Amazon, LinkedIn or Google required
  • Problem solver with a track record of addressing root-cause issues
  • Big picture thinking combined with an exacting attention to detail
  • Self-motivated and directed fast learner
  • Ability to partner with business and technical groups in a cross-functional capacity
As a Senior Data Scientist, your responsibilities include but are not limited to:
  • Using available data to address business questions or concerns. If a question requires additional data, work with engineers to create the required data.
  • Serving as a resource for senior business (internal) customers, educate the firm on methodologies and define firm data requirements.
  • Using data to develop and present recommendations on improving advertising ROI, measuring client profitability or answering business questions on optimizing marketing spend.
  • Use data mining, model building or other analytical techniques to develop and maintain client segments.
  • Help quantify the client lifecycle, and identify predictive factors for acquisition, retention and turnover.
  • Lead the definition and implementation of ads quality metrics and user experience metrics.
  • Degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience.
  • 3+ years experience doing quantitative analysis or statistical modeling
  • Experience extracting and manipulating large datasets
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Knowledge of at least one modeling framework (e.g., SciKit Learn, TensorFlow, SAS, R, MATLAB)
  • Highly proficient in spoken and written English
  • 2+ years experience working with ad monetization, quality and delivery
  • Knowledge of financial instruments is a plus
data scientist, quantitative development, quantitative modeling, data analytics

Spencer Knibbe
Managing Partner

Spencer is the Founder and Managing Partner of MBK Search, LLC - an executive search firm that specializes in the governance, risk, compliance, and cybersecurity market space. Prior to founding MBK, Spencer was Head of Operational Risk at Bridgewater Associates. Before moving to Bridgewater, Spencer was the Head of Risk for ICAP, Plc covering the Americas Region. He started his career in venture capital as an investment associate.

Spencer graduated from Harvard University in 2001 and resides in Ridgefield, CT with his wife and two sons.

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