Bloomberg

As a financial data, news, and analytics market leader, Bloomberg continuously invests in its technology to keep delivering the best data and analytics to support the global derivatives market. To this end, Bloomberg’s Derivatives Engineering team is responsible for owning the full life-cycle of services and applications for pricing derivatives. We build systems and products that enable clients to generate trade ideas, structure deals, connect to electronic trading platforms and capture market movements.

We sit at the intersection of finance and technology, working directly with product managers, financial engineers, and quantitative analysts to understand client and market needs. These foundational systems get billions of hits per day and provide data and analytics to many of Bloomberg’s flagship products.

If you’re interested, see the following links for more about the Bloomberg Derivatives team.

• https://www.bloomberg.com/company/stories/meet-the-team-derivatives-engineering/ 

• https://www.risk.net/awards/7930841/risk-markets-technology-awards-2022-pricing-and-analytics-structured-productscross-asset

What’s in it for you?

• Be part of a passionate, growing community of talented software engineers within an environment where innovation is not only embraced, but encouraged

• Gain experience applying functional programming to real production financial systems

• Use OCaml to develop a robust template system to assist users in creating a wide range of financial instruments across various asset classes

• Implement microservices and component-based designs

• Opportunity to learn some of the financial domain that's at the core of the extensive derivative functionality

• Help shape the strategy for growth of OCaml at Bloomberg by contributing to the various OCaml infrastructure projects across the company

We’ll trust you to:

• Employ functional programming in building new cutting-edge systems and improving existing ones wherever possible

• Work hand-in-hand with industry-expert product owners, financial engineers and quantitative researchers to build applications and frameworks

• Take leadership of technical solutions, implementation and rollout to users

• Champion new technologies, advocate for the latest developments and best practices in the open source community, challenge the status quo and inspire others to improve their craft. 

• Represent Bloomberg in conferences and the wider functional programming community

• Embrace teamwork and peer review of designs and code

You'll need to have:

• 4+ years  working with a functional language (OCaml, Haskell, Scala etc.) 

• A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience 

• An understanding of the benefits of composition; search for sum types in any language you write; and dearly miss pattern matching where you don't have it

• Functional expertise in building microservices; contributing  to system design and architecture; and scaling fault-tolerant, distributed systems

• Honest approach to problem-solving, and ability to collaborate with peers, partners and management

We'd love to see:

• Interest in the financial domain and passion for solving large scale challenging problems in the financial industry

• Contributions to the open source community 

• Interest in mentoring and sharing knowledge with other team members