The Fixed Income Engineering group delivers a single integrated platform to support our client's complete workflow, from analysis to idea generation, in arguably the world's most important capital market.
Our functionalities support instruments from many countries around the world and used by finance professionals across the board - from traders to ministries of finance. The tools we build have become the market standard across the global market, including: our yield and spread calculators, quantitative risk analysis, and relative value comparisons. As a result, some of our calculation APIs are invoked billions of times a day providing, fast and accurate analytics for a variety of use cases.
We focus on a variety of innovative market- changing workflows, including the ETF and the New Issues management platform. Our workflows will replace existing error prone and cumbersome processes with slick interfaces that have analytics and error checking built- in.
We'll Trust you to:
Take ownership of full software development life-cycle, from understanding the needs of the business through to coding to deployment and maintenance.
Develop large scale, low latency servers and user interfaces to redefine client workflows and help them make informed decisions
Solve highly complex problems while understanding the scope and impact of your work
Be quick, resourceful, flexible, and an excellent collaborator.
Work with product and other software engineering teams and balance the best of technical and product knowledge to craft unsurpassed product solutions for our customers
You'll need to have:
2+ years of experience programming in C++, Python, Java or similar in production environment
2+ years of object-oriented programming experience
Comprehensive knowledge of data structures and algorithms
Strong problem solving skills
A thorough understanding of the systems you've worked on
Good communication skills and an ability to explain technical concepts in a non-technical way
We'd love to see:
Development experience in Unix/Linux platforms
Experience with relational databases
Familiarity with the nuances of building high volume, high availability distributed systems
Familiarity with open-source technologies
Knowledge of financial markets or an interest to learn
