Data Scientist

new york, New York

Our client is a leading global financial firm, they are currently hiring a Data Scientist to join their North America Global Markets Front-Office group provides investors with a full capital markets range of products including equities, foreign exchange, interest rates, swaps, commodities, fixed income, and other products. The primary tools used for front office trade supervision include Actimize Trade Blotters, Tableau dashboards, HP Autonomy for electronic communications and other supervisory tools.

Responsibilities:

  • Partner with senior business sponsors, platform supervision, compliance, and business management to develop a highly visible holistic supervisory and surveillance platform
  • Design and implement a data strategy to support business use cases focused on multi-vector analysis using various natural language processing and machine learning techniques
  • Primary focus is to analyze available structured and un-structured information, apply data mining techniques, perform statistical analysis, and provide methods (algorithmic and technical) to create actionable alerts and reduce false-positives
  • Develop and enhance software solutions to meet business requirements
  • Gather and document technical requirements and specifications
  • Work with the project PM and BA’s to provide input on schedules and implementation best practices

Skills:

  • Master’s degree in engineering, math, statistics, physics or other technical field
  • Experience with of Big Data technologies including large data stores like Hadoop, Elastic, Apache Solr, et cetera
  • Proven track record of implementing internal and/or external Big Data solutions
  • Proven ability to find hidden insights and patterns within historical data
  • Knowledge of various Statistical Analysis, Probabilistic Analysis and Data Visualization techniques preferred
  • Experienced with Machine Learning
  • Advanced knowledge of SQL systems, with at least 5 year’s experience developing in Oracle, Microsoft SQL Server, PostgreSQL, MySQL
  • Advanced knowledge of NoSQL systems such as Cassandra, CouchDB, MongoDB, HBase, MarkLogic, Neo4J, Redis, and others
  • Knowledge of Cloud Computing (AWS, Azure, Google)
  • Knowledge of JAVA, J2EE, JavaScript, JSON, Python, Perl, SQL, and PL/SQL a plus
  • Basic understanding of project lifecycle stages – Requirements Gathering to Post Implementation
  • Experience with Front Office traders, IT support and Operation teams in a Capital Markets domain.
  • Experience with machine learning, natural language processing, AI, or robotics is a plus
  • Knowledge of Trade Supervision / Surveillance

Job category:

Job keywords:

Address
Files must be less than 2 MB.
Allowed file types: doc docx pdf.

Vertical Tabs