Senior Software Engineer - Derivatives

Bloomberg is the global leader in financial data and analytics. Financial derivatives instruments across several assets (foreign exchange, fixed income, equity, index, commodity, credit, etc) trade millions of times a day both as listed products on exchanges and as bespoke over-the-counter products in a multi-trillion dollar market throughout the world. The Derivatives Engineering team brings transparency to the complex world of derivatives. We enable our clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess and hedge portfolio risk for derivatives instruments.

This team is right at the intersection of finance and technology. We work directly with product managers, financial engineers, and quantitative analysts to understand client and market needs. We use cutting edge big data technologies, distributed computing, functional programming and machine learning to build software solutions that help us implement complex financial and quantitative models to facilitate derivatives pricing and analytics in real-time.

What's in it for you?
As a member of the Derivatives Engineering team, you will have the opportunity to work with a variety of open source technologies including Apache Spark, Apache Kafka, Apache Cassandra, Redis, Blockchain and more, to design and implement full-stack software solutions that serve billions of calculations a day. You'll gain hands-on experience in writing data analytics, distributed algorithms, and performance optimized code, all while gaining an advanced knowledge of the derivatives domain. If the idea of building sophisticated software solutions for financial data and analytics excites you, we would love to hear from you!

You'll need to have:

• 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)
• A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
• An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
• An understanding of Computer Science fundamentals such as data structures and algorithms

We'd love to see:

• Experience with other programming languages such as Javascript, Scala, and OCaml
• Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems
• An interest in financial markets or a background in data analytics or financial engineering
• Experience with high volume, high availability distributed systems

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net.

Salary Range: 160,000 - 240,000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.