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Eka Finance

Quantitative Data Scientist / London / New York / £150,000 + Benefits

Eka Finance London, Vereinigtes Königreich
Gepostet vor 1 Monat Im Büro Festanstellung £150,00+ Benefits
T
Gepostet von
Tina Kaul
Recruiter
Quant shop are looking to hire a data scientist who will work on the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Role:-

 

  • Identification of new data sets
  • Engaging with vendors to understand characteristics of datasets
  • Building processes and technology tools to ingest, tag and clean datasets
  • Analysis of datasets to generate descriptive statistics and propose potential applications of data
  • Monitoring and enhancing the automated data collection and cleansing infrastructure
  • Research on new technologies for improved data management and efficient retrieval

 

 

Requirements:-

 

  • Ph.D. in computer science, mathematics, physics, statistics or another discipline involving rigorous quantitative analysis techniques
  • 3+ years of experience as a Data Scientist, quantitative researcher or in a similar role
  • Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling
  • Experience applying statistical tests to large data sets
  • Programming skills in SQL, TSQL, SQL Server or PL-SQL
  • Programming skills in Python and at least one of C#, C++, or Java
  • Financial industry experience preferred but not required
  • Experience dealing with intraday, tick and order book data a plus
  • Strong problem solving skills
  • Intellectual curiosity and a love of learning
  • Attention to detail and a love of process

 

 

Apply:-

 

Please send a PDF CV to quants@ekafinance.com

Job ID  SH
ÜBER DAS UNTERNEHMEN
London, United Kingdom
HR & Recruitment
Eka Finance is a leading global quantitative finance recruitment consultancy in the banking and finance industry. We offer front office recruitment so...
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