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Job

Financial Engineer

  • Location

    Amsterdam

  • Sector:

    Financial Services and Banking

  • Job type:

    Permanent

  • Salary:

    Very Competetive

  • Contact:

    Luke Nash

  • Contact email:

    l.nash@hamlynwilliams.com

  • Salary high:

    0

  • Salary low:

    0

  • Job ref:

    LN-032

  • Published:

    16 days ago

  • Duration:

    Permanent

  • Expiry date:

    2021-05-22

  • Startdate:

    ASAP

Financial Engineer

 

Hamlyn Williams is partnered with a Global Alternative Investment Management firm. Due to increased growth they are looking to expand their Quantitative team in Amsterdam. We are looking for a Financial Engineer with both understanding of financial markets and products, affinity with data processing, automation, statistical modelling and a natural interest in technology. You will work closely together with the Front Office Team in Amsterdam and the software and IT specialists in London and New York.

As a Financial Engineer you will:

  • Developing and implementing portfolio analysis and portfolio management tools
  • Data processing, data management and data visualization
  • Linking pin between Front Office and Support Functions regarding MS[1]SQL Database maintenance and (Re)design database dependencies
  • Maintenance and Development of C++ based APIs to Bloomberg, MS[1]SQL, internal systems and other third party software
  • Research and Development of Statistical Learning, Machine Learning, Econometrics and Causal Inference techniques applied to financial data
  • Maintain relationships internally and with third parties
  • Other duties as assigned

 

As a Financial Engineer you will need:

  • Understanding of financial instruments and its valuations
  • Understanding of Statistical Modelling and Machine Learning
  • Affinity with software development in a broad range of programming languages (C#, C++, Java, Python, VBA, Ox and R) and applications (MS-SQL (tsql), Bloomberg, R Shiny, Git, Visual Studio, RStudio, MS-Office). C++ and SQL are essential.
  • Knowledge of Windows and Linux (Ubuntu/RedHat) operating systems
  • Master’s or PhD Degree in Econometrics, Statistics, Mathematics, Computer Science or a related field with minimum 2 year of working experience in the financial industry
  • English proficiency
  • Independent, but team-player mentality