Quantitative Developer

Quantifi Solutions, a leading supplier of quantitative and risk technology to the financial services sector, is seeking quantitative developers to join its growing engineering organization. We’re founder owned and profitable, and pride our selves on our collegial, bureaucracy- and politics-free organization.

We’ve recently hired a new CTO with a mandate to modernize our offerings through cloud native replatforming and rebuilding, and to expand the engineering organization across our three worldwide engineering hubs (London, New York City, and Sydney).

In this role you work with and on our award winning quantitative library and risk platform, developing new features and enhancing existing functionality. While we started with an on-premise business model, we now have a mixture of on-premise and hosted clients, and are at the start of moving to a cloud native SaaS model. This is a firm wide priority and at various points you may be working on our current, mature code base, or building new cloud native services from scratch.

Successful candidates will have experience working with a quant library, and understand the basics of derivatives pricing and risk such that they can incorporate those libraries into a larger system. We don’t expect you to have mastered the mathematics behind the models or the details of edge cases in product treatment; we have a fantastic set of quantitative researchers for that.

If you’ve done cloud native development, or want to start doing it, this is a terrific time to join the team!

·        Design and architect new components and services

·        Design, implement, test and debug new and existing features for our toolkit and RMS products

·        Maintain robust performance and regression test suites, and assist quantitative researchers with implementing features and enhancing performance

·        Work with our professional services organization to assist in client engagement and adoption

·        Work with peers in all three of our engineering hubs (London, New York City, and Sydney)

·        Professional experience programming in a strongly typed programming language such as C#, Java, C++, Go, or Rust

·        Working knowledge of producing quantitative applications targeting at least one major asset class (e.g. Credit, Rates, FX, Equities, Commodities, etc.)

·        Degree in a STEM discipline or equivalent experience gained another way

·        Fluency in spoken and written English

·        Professional experience programming in Python

·        Knowledge of at least one Cloud Service Provider and familiarity with cloud native development technologies, architectures, and methodologies