Senior Java/Python Analytics Engineer - Front Officemodities sought by leading investment bank based in Canary Wharf.Inside IR35 - 3 days a week onsite

Senior Java/Python Analytics Engineer - Front Officemodities 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 multiplemodities 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 themodities Strategic Data Access Analytics API Provide expertise in application of statistical and machine learning techniques to Front Office data problems Design Data Analyticponents 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 amodities Analytics Technology stack at times by developing functional specks, leveraging on abination 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 . modities 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 andmon 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 ofputing science fundamentals - concurrency, algorithms, operating systems. Exposure/Understanding of quantitative modelling and ofmodities product space is a plus.

Please apply within for further details or call on

Alex Reeder
Harvey Nash Finance & Banking

Job ID BBBH107348