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Sr kdb developer

Job description

​Sr kdb+ Developer

New York (Hybrid)

Global consultancy

 

MPA has been retained one of the world’s leading Capital Markets consultancies to recruit Sr kdb+ developers to join their team in New York. This global company helps its clients navigate the data-driven, digital revolution that is both disrupting and transforming the financial services sector.

 

What you’ll be doing:

·       Providing technical leadership on client projects

·       Leading technical teams to deliver projects on time and on budget

·       Defining technical architectures and solutions

·       Working with business users to define requirements for new application functionality

·       Developing, testing, supporting and maintaining all code for client applications

·       Analysing data and creating reports for clients, incorporating all findings

·       Mentorship, training and potentially management of junior and mid-level developers

 

Experience and skills required:

·       5+ years kdb+ development experience

·       Experience of defining and implementing kdb+ architectures

·       Proven delivery of technical solutions to appropriate standards and methodologies

·       In-depth knowledge of creating and maintaining kdb+ solutions

·       Experience delivering technical solutions in unix/linux environment

·       Demonstratable technical leadership and decision making

·       Experience communicating and liaising with key stakeholders

·       Excellent communication skills and capable of tailoring to the audience

·       Desire to improve technically and maintain up to date with the latest advances

·       Experience of working and delivering solutions in Capital Markets/Investment Banking

·       Cloud architecture and development experience is a plus but not essential

·       Minimum 3.5 GPA in Mathematics, Physics, Computer Science or any other scientific/engineering discipline

Experience and skills desired*:

·       Contributes to company ecosystem

·       Experience of other programming languages e.g. Python

·       Cloud development and architecture experience

·       Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation

·       People management experience