Senior Java/Python Engineer - Front Office/Commodities

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