Senior Java/Python Engineer - Front Office/Commodities
other jobs Harvey Nash
Added before 80 Days
- England,London
- full-time
- £750.00 - £850.00 per day
Job Description:
Senior Java/Python Analytics Engineer - 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
Alex Reeder
Harvey Nash Finance & Banking
**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
Alex Reeder
Harvey Nash Finance & Banking
Job number 1385065
metapel
Company Details:
Harvey Nash
Established in 1988, Harvey Nash has supported many of the world’s leading organisations to recruit, source and manage the highly skilled talent...