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Senior Software Engineer - Fixed Income and Derivatives Data Technologies

Location

Skillman

Business Area

Engineering and CTO

Ref #

10047617

Description & Requirements

Bloomberg is the global leader in financial data and analytics. The Fixed Income and Derivatives Data Technologies Engineering department produces data, applications, and tools that enable our clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess and hedge portfolio risk for a variety of financial instruments across fixed income and derivatives asset classes.

While building innovative technology is at the core of what we do, our department also develops sophisticated solutions for ever-evolving financial markets. We work directly with product managers, data management professionals, financial engineers, data 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 pricing and analytics in real-time.

What’s in it for you?

The Fixed Income and Derivatives Data Technologies Engineering group designs and builds high performance, low latency, distributed, and scalable data processing pipelines to extract, transform, and publish high quality financial reference data from external sources and into Bloomberg's ecosystem. We focus on building automated data processing pipelines using cutting-edge AI solutions and we complement that with manual remediation workflow tools. As a member of our group, you'll gain hands-on experience in designing and developing these systems, all while gaining an advanced knowledge of financial instruments and markets. We seek passionate and skilled engineers who thrive in a diverse, collaborative environment and excel at crafting reusable, efficient end-to-end solutions to complex problems. Proficiency in object-oriented programming languages like Python or C++ is greatly desired, with a willingness to learn new technologies. You will also have the opportunity to leverage open-source tools like Apache Kafka, MySQL, Solr, Spark, Kubernetes, Cassandra, and Redis (plus many more!) to design, develop, and implement full-stack solutions, adhering to industry best practices for software development, testing, automation, and CI/CD.

We’ll trust you to:

+ Take ownership of the critical products and their designs, and then build and iterate at a rapid and incremental pace following the full SDLC best practices.

+ Work with a variety of technologies to develop innovative solutions.

+ Collaborate proactively in an agile, fast-paced team that works closely with other engineering teams, product/business teams, and data teams.

+ Be a passionate problem solver and think outside the box and take smart, calculated risks to deliver the highest business value.

+ Deliver on time without compromising on quality, and while displaying strong software craftsmanship.

You'll need to have:

+ 4+ years of hands-on experience with an object-oriented programming language (Python, C/C++, Java, TypeScript, etc.)

+ A degree in Computer Science, Software Engineering, Engineering, Mathematics, similar field of study or equivalent work experience

+ Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable full stack software

+ Proficient with database programming and data modeling

+ Comfortable with user interface design and development

+ Passion for leading discussions, sharing innovative ideas, collaborating, and promoting best practices within the team

+ Proficient in adapting project execution to meet evolving demands

+ Strong analytical and creative problem solving skills

We'd love to see:

+ An interest in financial markets or a background in data analytics or financial engineering

+ Experience with high volume, high availability, large-scale distributed systems

+ Experience working with Microservice architectural style

+ Familiarity with data science and LLM/ML/NLP techniques to help with automation of data processing pipelines

+ Familiarity with NoSQL Databases

Salary Range = 160000 - 240000 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.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

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 [email protected]