Senior Python Developer - Front Office/ Commodities

London
  1. Contract
£750 - £850 per day

Senior Python Developer - Front Office/Commodities sought by leading investment bank based in Canary Wharf.

**Inside IR35 – 3 days a week onsite**

Key responsibilities include:

  • Support Front Office (FO) in quantitative analysis of multiple commodities markets, fundamentals and nonstandard datasets.
  • Develop data science Utility Libraries and Tooling to streamline FO data experimentation
  • Assist Traders and Risk Managers in models back testing and help improve their models.
  • Implement Data Visualization Tools for ease of reporting and analysis
  • Implement the Commodities Strategic Data Access Analytics API
  • Provide expertise in application of statistical and machine learning techniques to Front Office data problems
  • Design Data Analytic components which are scalable in size, and can be rapidly deployed across multiple centres and generic enough to cater to multiple use cases.
  • The successful applicant must demonstrate drive and initiative, be goal-oriented, dedicated and self-sufficient. He/she should be able to work well under pressure, adapt quickly to changing priorities and maintain focus on key tasks during busy periods.
  • Responsible for designing and developing a Commodities Analytics Technology stack at times by developing functional specks, leveraging on a combination of existing platforms and building new strategic platforms, and migrate existing business functions from legacy systems.
  • Engage senior business heads, providing frequent & timely updates and managing expectations.


Qualifications

  • Experience in interacting with business partners like Front Office, Product control, and IBR . (Commodities Exposure Preferred)
  • Extensive background in data mining and statistical analysis
  • Extensive experience using one of the programming languages such as Java/Python
  • Able to understand various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modelling skills
  • Experience with relational and object databases.
  • Experience with Distributed Systems Technologies – Messaging, Caching
  • Experience working with large datasets using (kdb+/Hadoop/etc.)
  • Experience working with Visualization/Reporting Tools (Tableau) (Desirable)
  • Working knowledge of AI model training. (Desirable)


Additional Qualifications

  • Good understanding of computing science fundamentals – concurrency, algorithms, operating systems.
  • Exposure/Understanding of quantitative modelling and of Commodities product space is a plus.


Please apply within for further details or call on 07393149627
Alex Reeder
Harvey Nash Finance & Banking

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