Sr. Developer- Data Scientist

New York, NY

Responsibilities

 

  • Application Development: provides business-facing application solutions by either developing in-house built applications or integrating third-party vendor solutions
  • Infrastructure: creates and supports all aspects of the Firm’s core technical infrastructure (networks, data centers, database/server/email management, help desk, etc.)
  • Business & Data Architecture: ensures consistent and highly effective business and data flows across business applications architecture
  • Lead enterprise data group to analyze, design, implement and support systems that analyze both structured and unstructured data, to support firm’s Portfolio and Risk analysis functions.
  • The candidate will participate in all aspects of the software development cycle including architecture, design and code reviews.
  • Additional responsibilities include building systems to: Acquire, store and manage large data sets, clean and validate data, devise and apply models and algorithms to mine stores of data and analyze data to identify patterns and trends.
  • The candidate is expected to participate in and make strong contributions in activities to define and implement the future state ML technologies, architecture and design.
  • Function as the lead developer to coach and mentor other IT colleagues in the development of the models.
  • The lead will contribute to and in some cases be responsible for producing project report artifacts and other technology presentations to the management as warranted.

 

Requirements

 

  • Strong demonstrated business domain understanding of the following: Hedge Fund structures; Alternative Asset Management Strategies like Event, Arbitrage, Long Short, Converts etc.; Portfolio Allocations and Management concepts; Investments (Listed and Private) of all asset classes; Capital Markets; Risk Metrics and Reporting for Market, Issuer, Credit, Liquidity risk.
  • Must have 3 years of demonstrated hands-on experience in the following technologies: Python; Pandas; Scikit learn; Apache Spark.
  • Must have over 10 years of demonstrated hands-on experience in the following: SQL Server Management Studio; Data-warehouse (star schema, ROLAP, MOLAP) design and implementation; ETL tools like SSIS, IBM DataStage etc.; Data model design and development. Includes conceptual, logical and physical data-models; Enterprise Message Bus technologies like Rabbit MQ, MSMQ etc.

 

 

 

Note: Qualified candidates will be contacted within 2 business days of application. If an applicant does not meet the above criteria, we will keep your resume on file for future opportunities and may contact you for further discussion.

Date Posted 10/3/2019
Salary $150,000 - $185,000 + bonus






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